EP2867843A1 - Prise d'empreinte comportementale comprenant surveillance de vente au détail - Google Patents

Prise d'empreinte comportementale comprenant surveillance de vente au détail

Info

Publication number
EP2867843A1
EP2867843A1 EP13809279.6A EP13809279A EP2867843A1 EP 2867843 A1 EP2867843 A1 EP 2867843A1 EP 13809279 A EP13809279 A EP 13809279A EP 2867843 A1 EP2867843 A1 EP 2867843A1
Authority
EP
European Patent Office
Prior art keywords
user device
user
circuitry
behavioral fingerprint
combination
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Ceased
Application number
EP13809279.6A
Other languages
German (de)
English (en)
Other versions
EP2867843A4 (fr
Inventor
Clarence T. Tegreene
Marc E. Davis
Matthew G. Dyor
Daniel A. Gerrity
Xuedong Huang
Roderick A. Hyde
Royce A. Levien
Richard T. Lord
Robert W. Lord
Mark A. Malamud
Nathan P. Myhrvold
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Invention Science Fund II LLC
Original Assignee
Elwha LLC
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Priority claimed from US13/538,385 external-priority patent/US8869241B2/en
Priority claimed from US13/552,502 external-priority patent/US20130133054A1/en
Priority claimed from US13/563,599 external-priority patent/US9083687B2/en
Priority claimed from US13/602,061 external-priority patent/US9825967B2/en
Priority claimed from US13/631,667 external-priority patent/US9015860B2/en
Priority claimed from US13/665,841 external-priority patent/US20140123249A1/en
Priority claimed from US13/665,830 external-priority patent/US9298900B2/en
Priority claimed from US13/673,506 external-priority patent/US20130151617A1/en
Priority claimed from US13/678,380 external-priority patent/US9729549B2/en
Priority claimed from US13/686,739 external-priority patent/US20130159217A1/en
Priority claimed from US13/691,466 external-priority patent/US9621404B2/en
Priority claimed from US13/711,518 external-priority patent/US20130197968A1/en
Application filed by Elwha LLC filed Critical Elwha LLC
Publication of EP2867843A1 publication Critical patent/EP2867843A1/fr
Publication of EP2867843A4 publication Critical patent/EP2867843A4/fr
Ceased legal-status Critical Current

Links

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00—Commerce
    • G06Q30/02—Marketing; Price estimation or determination; Fundraising
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L9/00—Cryptographic mechanisms or cryptographic arrangements for secret or secure communications; Network security protocols
    • H04L9/32—Cryptographic mechanisms or cryptographic arrangements for secret or secure communications; Network security protocols including means for verifying the identity or authority of a user of the system or for message authentication, e.g. authorization, entity authentication, data integrity or data verification, non-repudiation, key authentication or verification of credentials
    • H04L9/3226—Cryptographic mechanisms or cryptographic arrangements for secret or secure communications; Network security protocols including means for verifying the identity or authority of a user of the system or for message authentication, e.g. authorization, entity authentication, data integrity or data verification, non-repudiation, key authentication or verification of credentials using a predetermined code, e.g. password, passphrase or PIN
    • H04L9/3231—Biological data, e.g. fingerprint, voice or retina
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L2209/00—Additional information or applications relating to cryptographic mechanisms or cryptographic arrangements for secret or secure communication H04L9/00
    • H04L2209/56—Financial cryptography, e.g. electronic payment or e-cash

Definitions

  • the present application is related to and/or claims the benefit of the earliest available effective filing date(s) from the following listed application(s) (the "Priority Applications"), if any, listed below ⁇ e.g., claims earliest available priority dates for other than provisional patent applications or claims benefits under 35 USC ⁇ 119(e) for provisional patent applications, for any and all parent, grandparent, great- grandparent, etc. applications of the Priority Appiication(s)).
  • the present application is related to the "Related Applications,” if any, listed below.
  • FIG. 1 is a schematic diagram of a user device, a server device, and at least one behavioral fingerprint, any of which may be involved individually or jointly in example authentication scenarios in accordance with certain example embodiments.
  • FIG. 2A is a schematic diagram of multiple user devices, multiple server devices, and at least one behavioral fingerprint, any of which may be involved indivlduany or jointly in example authentication scenarios in accordance with certain example embodiments.
  • FIG. 2B is a schematic diagram of multiple user devices, multiple server devices, and multiple example locations for at least a portion of at least one behavioral fingerprint in accordance with certain example embodiments.
  • FIG. 3 is a schematic diagram illustrating an example behavioral fingerprint including one or more example indicators of one or more behavior-related acts in accordance with certain example embodiments.
  • FIG. 4 is a schematic diagram of an example user device including one or more example components in accordance with certain example embodiments.
  • FIG. 5 is a schematic diagram of an example server device including one or more example components in accordance with certain example embodiments.
  • FIGS. 6A and 6B are schematic diagrams of an example user device and an example server device, respectively, that have one or more functional modules in accordance with certain example embodiments.
  • FIG. 7A is a schematic diagram that includes at least one example device that is capable of handling scenarios for behavioral fingerprinting with retail monitoring in accordance with certain example embodiments.
  • FIGS. 7B-7E are schematic diagrams that include at least one example device and that depict example scenarios for implementing behavioral fingerprinting with retail monitoring in accordance with certain example embodiments.
  • FIG. 8A is a flow diagram illustrating an example method for at least one device with regard to behavioral fingerprinting with retail monitoring in accordance with certain example embodiments.
  • FIGS. 8B-8D depict example additions or alternatives for a flow diagram of
  • FIG. 8A in accordance with certain example embodiments.
  • FIGS. 9A-9E depict example additions or alternatives for a flow diagram of
  • FIG. 8A in accordance with certain example embodiments.
  • FIGS. 10A-10B depict example additions or alternatives for a flow diagram of FIG. 8A in accordance with certain example embodiments.
  • FIG. 1 is a schematic diagram 100 of a user device, a server device, and at least one behavioral fingerprint, any of which may be involved individually or jointly in example authentication scenarios in accordance with certain example embodiments.
  • schematic diagram 100 may include at least one user device 102, at least one user 104, at least one network 106, at least one channel 108, at least one behavioral fingerprint 110, or at least one server device 112. More specifically, at least one channel 103 may extend from or lead to a device 102 or 112 to facilitate communication therewith.
  • a user 104 may correspond to or be utilizing at least one user device 102.
  • a user 104 may utilize a user device 102 in accordance with a usage that may be at least partially represented by, modeled by, incorporated into, stored at, tracked by, summarized in, or a combination thereof, etc. at least one behavioral fingerprint 110.
  • a user device 102 may include or comprise, by way of example but not limitation, a mobile phone, a smart phone, a mobile terminal, a laptop or notebook computer, a personal digital assistant (PDA), a netbook, an entertainment appliance (e.g., a television, a gaming console, a set-top box, a music player, or a combination thereof, etc.), a portable gaming device, a user equipment, a tablet or slate computer, a desktop computer, a personal navigation device (PND), a vehicle with user-accessible computational capabilities, videoconferencing equipment, some combination thereof, or so forth.
  • PDA personal digital assistant
  • PDA personal digital assistant
  • netbook an entertainment appliance
  • an entertainment appliance e.g., a television, a gaming console, a set-top box, a music player, or a combination thereof, etc.
  • PND personal navigation device
  • a user 104 may include or comprise, by way of example only, at least one person, a couple, siblings, a family, a partnership, an organizational group, a company, a robotic user (e.g., a computational entity), an electronic agent, a portion thereof, some combination thereof, or so forth.
  • a robotic user e.g., a computational entity
  • an electronic agent e.g., a portion thereof, some combination thereof, or so forth.
  • claimed subject matter is not limited to any particular described embodiments, implementations, examples, etc.
  • a network 106 may include, by way of example but not limitation, at least a portion of one or more networks having one or more nodes that transmit, receive, forward, generate, buffer, store, route, switch, process, or a combination thereof, etc. one or more messages, packets, signals, waves, voltage or current levels, some combination thereof, or so forth.
  • a network may include, by way of example but not limitation, one or more of: a wireless network, a wired network, an internet, an intranet, a public network, a private network, a packet- switched network, a circuit-switched network, an ad hoc network, an infrastructure network, a public-switched telephone network (PSTN), a cable network, a cellular network, a satellite network, a fiber optic network, some combination thereof, or so forth.
  • PSTN public-switched telephone network
  • a node may include, by way of example but not limitation, a server; a router; an end user device, such as a mobile phone, a tablet computer, a desktop computer, an entertainment appliance, a vehicle, or a combination thereof, etc.; a switch; a base station; a gateway; some combination thereof; or so forth.
  • a channel 108 may include, by way of example but not limitation, one or more of: at least one wired link, at least one wireless link, at least part of public network, at least part of a private network, at least part of a packet-switched network, at least part of a circuit-switched network, at least part of an infrastructure network, at least part of an ad hoc network, at least part of a PSTSM, at least part of a cable network, at least part of a cellular network connection, at least part of an internet connection, at least part of a Wi-Fi connection, at least part of a WiMax connection, at least part of an internet backbone, at least part of a satellite network, at least part of a fiber optic network, multiple instances of any of the above, one or more network nodes, some combination of the above, or so forth, A channel 108 may include one or more nodes (e.g., a telecommunication node, an access point, a base station, an internet server
  • a communication may include, by way of example but not limitation, a transmission of data, a reception of data, an exchange of data, a flow of data (e.g., between or among two or more intermediate nodes or endpoints), some combination thereof, or so forth.
  • a user device 102 may communicate with a server device 112, or vice versa, via one or more signals (not explicitly shown) using one or more channels 108.
  • a couple of examples of channels 103 are illustrated in schematic diagram 100 (as well as in additional figures, such as schematic diagram 200A of FIG. 2A). Signals may propagate via one or more channels 108.
  • Signals may include, electrical signals, magnetic signals, electromagnetic signals, photonic signals, wireless signals, wired signals, multiples ones thereof, some combination thereof, or so forth.
  • claimed subject matter is not limited to any particular described embodiments, implementations, examples, etc.
  • a server device 112 may include or comprise, by way of example but not limitation, one or more of: a stand-alone server, a server blade, a server rack, a bank of servers, a server farm, hardware supporting a part of a cloud service or system, a home server, hardware running a virtualized server, one or more processors executing code to function as a server, one or more machines performing server-side functionality as described herein, at least a portion of any of the above, some combination thereof, or so forth.
  • a stand-alone server a server blade, a server rack, a bank of servers, a server farm, hardware supporting a part of a cloud service or system, a home server, hardware running a virtualized server, one or more processors executing code to function as a server, one or more machines performing server-side functionality as described herein, at least a portion of any of the above, some combination thereof, or so forth.
  • At least one behavioral fingerprint 110 may include, by way of example but not limitation, one or more indicators representing one or more behaviors of at least one user with respect to at least one user device.
  • Examples of one or more indicators representing one or more behaviors of at least one user with respect to at least one user device may include, but are not limited to, one or more indicators representing one or more habits of at least one user with respect to at least one user device, one or more indicators representing usage of at least one user device by at least one user, one or more indicators representing one or more actions of at least one user with respect to at least one user device, some combination thereof, or so forth.
  • At least one behavioral fingerprint 110 may include, by way of example but not limitation, one or more indicators representing one or more predicted acts (e.g., behaviors, such as habits, usages, actions, or a combination thereof, etc.) of at least one user with respect to at least one device. Additionally or alternatively, at least one behavioral fingerprint 110 may include, b way of example but not limitation, at least one status of a user that is utilizing or that corresponds to a user device. For certain example implementations, a user whose behavior is being monitored to at least partially establish at least a portion of at least one behavioral fingerprint 110 may comprise an authorized user, which is described herein below. However, claimed subject matter is not limited to any particular described embodiments, implementations, examples, etc.
  • a user may be utilizing a user device, by way of example but not limitation, if the user is accessing the user device, if the user is interacting with the user device, if the user is carrying the user device, if the user is providing input to the user device, if the user is receiving output from the user device, if the user is directing operation of the user device, some combination thereof, or so forth.
  • a user may correspond to a user device, by way of example but not limitation, if the user is an authorized user of the user device.
  • claimed subject matter is not limited to any particular described embodiments, implementations, examples, etc.
  • a user 104 of a user device 102 may comprise an authorized user of the user device 102: if the user 104 comprises, by way of example but not limitation, a true owner, a manager, an information technology (IT) specialist, a controller, a purchaser, a lessee, an approved borrower, a primary user, or a combination thereof, etc. of the user device 102; if the user 104 is or has been authorized by a true owner, a manager, an IT specialist, a controller, a purchaser, a lessee, an approved borrower, a primary user, or a combination thereof, etc. of the user device 102; some combination thereof; or so forth.
  • IT information technology
  • a determination that a user 104 comprises (e.g., is, is becoming, is being designated, or a combination thereof, etc.) an authorized user of a user device 102 may be effectuated if or when a user first registers a profile, an account, or a combination thereof, etc.
  • a device may be effectuated if or when one or more 'sign-ins' (e.g., entry of a password, code, PIN, pattern, biometric input, or a combination thereof, etc.) are performed by a user; may be effectuated if or when one or more user ID/secret information combinations (e.g., entry of an account name, email address, individualized identification, or a combination thereof, etc.
  • one or more 'sign-ins' e.g., entry of a password, code, PIN, pattern, biometric input, or a combination thereof, etc.
  • user ID/secret information combinations e.g., entry of an account name, email address, individualized identification, or a combination thereof, etc.
  • a user may be effectuated if or when a given user is identified as, designated as, or otherwise indicated to comprise an authorized user by one who is already an authorized user; some combination of such authorized user determinations; or so forth.
  • An authorized user may add a new authorized user, by way of example only: by providing a name or other identification of another user or his or her biometric information (e.g., a facial photo, a voice sample, a fingerprint image, a retinal scan, or a combination thereof, etc.); by providing a name or other identification of a user or temporary or permanent secret information, such as a password, a code, a PIN, a pattern, biometric input, or a combination thereof, etc. (e.g., that a newly authorized user may be capable of changing or confirming); some combination thereof; or so forth.
  • An authorized user such as a true owner or IT specialist, may be empowered to remove someone from a list of authorized user(s).
  • different authorized users may have different levels of authorization (e.g., different levels of pabilities, rights, privileges, or a combination thereof, etc.) with respect to a given user device 102.
  • one authorized user may comprise an administrator with full access rights or privileges, yet another authorized user may comprise a regular, non-administrative, or junior user with fewer access rights or privileges.
  • one authorized user may have full access rights to applications and content stored on a device or associated with a particular account/profile, yet another authorized user may have restricted access rights to applications or content stored on a device such that access is prevented, for instance, to particular device settings or adult content.
  • Other approaches to providing different levels of authorization may also or instead be implemented.
  • an authorized user who is a true owner may add a new authorized user that is permitted to utilize existing applications and content but is prohibited from adding new applications or making particular purchases (e.g., individual purchases above a predetermined dollar amount or multiple purchases beyond a total dollar amount).
  • FIG. 2A is a schematic diagram 200A of multiple user devices, multiple server devices, and at least one behavioral fingerprint, any of which may be involved individually or jointly in example authentication scenarios in accordance with certain example embodiments.
  • schematic diagram 200A may include at least one user device 102, at least one user 104, at least one network 106, at least one channel 108, at least one behavioral fingerprint 110, or at least one server device 112, More specifically, schematic diagram 200A may include, by way of example only, three user devices 102 (e.g., a user device 102A, a user device 102B, or a user device 102C, etc.), two server devices 112 (e.g., a server device 112A, or a server device 112 B, etc.), or two behavioral fingerprints 110 (e.g., a behavioral fingerprint 110a, or a behavioral fingerprint 110b, etc.).
  • three user devices 102 e.g., a user device 102A, a user device 102B, or a user device 102C
  • a user 104 may correspond to or be utilizing multiple user devices 102, such as at least two of user device 102A, user device 102B, or user device 102C, at least partially simultaneously or from time to time.
  • a user 104 may own at least two of: a mobile phone, a tablet computer, a vehicle with an intelligent computing apparatus, a laptop computer, or a desktop computer.
  • at least part of a combined behavioral fingerprint 110 e.g., a behavioral fingerprint llOa/llOb
  • a behavioral fingerprint llOa/llOb may be associated with a user 104 and each corresponding user device 102.
  • an individualized behavioral fingerprint 110 may be associated with a user 104 and each corresponding individual or respective user device 102.
  • a behavioral fingerprint 110a or a behavioral fingerprint llOb may be associated with a user 104 and each corresponding individual or respective user device 102.
  • claimed subject matter is not limited to any particular described embodiments, implementations, examples, etc.
  • 110b an at least partially combined instantiation of at least two of a behavioral fingerprint 110, 110a, or 110b; a portion of a behavioral fingerprint 110, 110a, or 110b; or a combination thereof; etc. may be distributed across or stored at, by way of example only, one or more of: a user device 102A, a user device 102B, a user device 102C, a network 106 or node thereof, a server device 112A, a server device 112B, some combination thereof, or so forth.
  • a behavioral fingerprint 110, 110a, or 110b; an at least partially combined instantiation of at least two of a behavioral fingerprint 110, 110a, or 110b; a portion of a behavioral fingerprint 110, 110a, or 110b; or a combination thereof; etc. may be transmitted, received, exchanged, or a combination thereof, etc., by way of example only, via one or more of: at least one network 106, one or more channels 108, some combination thereof, or so forth.
  • a user device 102 or a server device 112 may transmit, receive, exchange, or a combination thereof, etc.
  • a behavioral fingerprint 110, 110a, or 110b directly between or among devices 102 or 112 or indirectly via at least one node (not explicitly shown) of one or more networks 106.
  • claimed subject matter is not limited to any particular described embodiments, implementations, examples, etc.
  • FIG. 2B is a schematic diagram 200B of multiple user devices, multiple server devices, and multiple example locations for at least a portion of at least one behavioral fingerprint in accordance with certain example embodiments.
  • schematic diagram 200B may include at least one user device 102, at least one user 104, at least one network 106, at least one channel 108, at least one behavioral fingerprint 110, or at least one server device 112.
  • schematic diagram 200B may include, by way of example only, three user devices 102 (e.g., a user device 102A, a user device 102B, or a user device 102C, etc.), two server devices 112 (e.g., a server device 112A, or a server device 112B, etc.), or six behavioral fingerprints 110 (e.g., a behavioral fingerprint 110c, a behavioral fingerprint llOd, a behavioral fingerprint llOe, a behavioral fingerprint llOf, a behavioral fingerprint llOg, or a behavioral fingerprint llOh, etc.).
  • three user devices 102 e.g., a user device 102A, a user device 102B, or a user device 102C, etc.
  • two server devices 112 e.g., a server device 112A, or a server device 112B, etc.
  • six behavioral fingerprints 110 e.g., a behavioral fingerprint 110c, a behavioral fingerprint llOd, a behavioral
  • a given behavioral fingerprint 110 or portion thereof may be located at (stored at, distributed at least partially across, accessible from, associated with, or a combination thereof, etc.) one or more devices 102 or 112.
  • a behavioral fingerprint 110c may be located at a user device 102A
  • a behavioral fingerprint llOd may be located at a user device 102B
  • a behavioral fingerprint llOe may be located at a user device 102C
  • a behavioral fingerprint llOf may be located at a network 106 (e.g., at a cloud service or system)
  • a behavioral fingerprint llOg may be located at a server device 112A
  • a behavioral fingerprint llOh may be located at a server device 112B.
  • any one or more of behavioral fingerprints llOc-llOh may include one or more separate or individualized behavioral fingerprints 110; may include one or more combined, amalgamated, distributed, or a combination thereof, etc. behavioral fingerprints 110; may include at least a portion of at least one behavioral fingerprint 110; some combination thereof; or so forth,
  • claimed subject matter is not limited to any particular described embodiments,, implementations, examples, etc,
  • At least one behavioral fingerprint 110 is selected from at least one behavioral fingerprint 110.
  • a behavioral fingerprint 110c which may be stored at a user device 102A, may be associated with a user 104 and user device 102A.
  • a behavioral fingerprint llOg which may be stored at a server device 112 A, may be associated with a user 104 and a user device 102A.
  • a behavioral fingerprint 110b which may be stored at a server device 112B, may be associated with a user 104, a user device 102B, and a user device 102C.
  • a behavioral fingerprint 110c which may be stored at a user device 102A and associated therewith
  • a behavioral fingerprint llOd which may be stored at a user device 102B and associated therewith
  • a behavioral fingerprint 110c which may be stored at a user device 102A and associated therewith
  • a behavioral fingerprint llOd which may be stored at a user device 102B and associated therewith
  • a behavioral fingerprint 110c and a behavioral fingerprint llOd may be identical to each other, partially the same, different from one another, updated to keep one at least partially coherent or consistent with the other, some combination thereof, or so forth.
  • a behavioral fingerprint llOd which may be stored at a user device 102B and associated therewith
  • a behavioral fingerprint llOg which may be stored at a server device 112A and associated with a user device 102C
  • a behavioral fingerprint llOd and a behavioral fingerprint llOg may be identical to each other, partially the same, different from one another, updated to keep one at least partially coherent or consistent with the other, some combination thereof, or so forth.
  • a behavioral fingerprint llOe which may be stored at a user device 102C and associated therewith, and a behavioral fingerprint llOh, which may be stored at a server device 112B and also associated with user device 102C, may be individually or jointly associated with a user 104.
  • a behavioral fingerprint llOe and a behavioral fingerprint llOh may be identical to each other, partially the same, different from one another, updated to keep one at least partially coherent or consistent with the other, some combination thereof, or so forth.
  • a behavioral fingerprint llOe which may be stored at a user device 102C, may be associated with a user 104 and a user device 102B.
  • each user device 102 and server device 112 (and network 106) is shown in schematic diagram 200B as having a behavioral fingerprint 110 located there at, one or more user devices 102 or server devices 112 (or networks 106) may alternatively not have a behavioral fingerprint 110 located there at. Furthermore, other additional or alternative approaches may instead be implemented.
  • a behavioral fingerprint 110 may include a whole behavioral fingerprint, a portion of a behavioral fingerprint, a behavioral fingerprint associated with a single user device, a behavioral fingerprint associated with multiple user devices, a part of a distributed behavioral fingerprint, a whole behavioral fingerprint that is distributed across multiple devices, a portion or a whole behavioral fingerprint that is located at one device, one or more indicators of one or more behavior-related acts, some combination thereof, or so forth.
  • Examples of behavioral fingerprint(s) 110 are described further herein below with particular reference to FIG. 3. However, claimed subject matter is not limited to any particular described embodiments, implementations, examples, etc. [0037] FIG.
  • FIG. 3 is a schematic diagram 300 illustrating an example behavioral fingerprint including one or more example indicators of one or more behavior-related acts in accordance with certain example embodiments.
  • schematic diagram 300 may depict a behavioral fingerprint 110, which behavioral fingerprint 110 may include any one or more indicators of various acts 302-322 or other indicators 324.
  • Example indicators 302-324 that are illustrated may include, but are not limited to, user interface actions 302, user movements 304, locations visited 306, social network interactions 308, communication modes employed 310, entity interactions 312, apps employed 314, transactions conducted 316, user statuses 318, other acts 320, predicted acts 322, other indicators 324, some combination thereof, or so forth.
  • locations visited 306 may include physical locations visited 306a, virtual locations visited 306b, or a combination thereof, etc.
  • social network interactions 308 may include social network members 308a, social network messages 308b, or a combination thereof, etc. Additional or alternative implementations to those of schematic diagram 300 for a behavioral fingerprint 110 are described further herein below as well as above.
  • a behavioral fingerprint 110 may alternatively include more, fewer, or different indicator(s) from those that are illustrated without departing from claimed subject matter.
  • one or more user interface actions 302 may include, but are not limited to, a type of user interaction (e.g., buttons, keys, physical keyboard, touch screen, swipes, virtual buttons, virtual keyboard, multi-finger touch, speech, textual, movement sensing input such as a shake or a twist, or a combination thereof, etc.), a speed of user interaction (e.g., speech rate, speech cadence, typing speed, swiping speed, scrolling speed, speed moving between or among windows or apps, duration of a swipe or press of a virtual or physical key or button, or a combination thereof, etc.), a user input apparatus (e.g., a built-in microphone, a wireless microphone, a built-in keyboard, a virtual keyboard, a detachable/attachable keyboard, a wireless keyboard, an input apparatus identifiable such as by name or number, or a combination thereof, etc.), a position of user interaction (e.g., a location of touch for a touch-sensitive
  • one or more user movements 304 may include, but are not limited to, device orientation (e.g., cardinal direction a device is pointed at, angle a device is held at, or a combination thereof, etc.), device shakes or deformations (e.g., how a device is moved to provide input, how a device is pressed or twisted or curved to provide input, or a combination thereof, etc.), a pattern of vibrations or jostling applied to or experienced by a device during daily use (e.g., as a result of carrying it, commuting with it, placing it in a pack or purse, placing it in a pocket, or a combination thereof, etc.), some combination thereof, or so forth.
  • device orientation e.g., cardinal direction a device is pointed at, angle a device is held at, or a combination thereof, etc.
  • device shakes or deformations e.g., how a device is moved to provide input, how a device is pressed or twisted or curved to provide input, or
  • one or more locations visited 306 may include, but are not limited to, locations that a user carries, sends, places, or travels with a device; locations that a user directs software to acquire data from or send data to; some combination thereof; or so forth.
  • physical locations visited 306a may include, but are not limited to, an address, a room, a store, a building, a neighborhood, a city, a state, a country, one or more satellite positioning system (SPS) coordinates, a check-in location, a business, one or more geographical (e.g., cardinal) coordinates, a geographical zone (e.g., coordinates or approximate position in conjunction with a distance or range), some combination thereof, or so forth.
  • SPS satellite positioning system
  • virtual locations visited 306b may include, but are not limited to, an internet address, a web page, a web site, a social network, a destination within a social network, a virtual world, a destination within a virtual world, a chat room, a bulletin board, a blog, some combination thereof, or so forth.
  • claimed subject matter is not limited to any particular described embodiments, implementations, examples, etc.
  • one or more social network interactions 308 may include, but are not limited to, accessing a social network, reading a communication from one or more social network members, sending a communication to one or more social network members, changing profile or account information for a social network, viewing publicly-available social network information (e.g., viewing a person's wall, board, stream, pinning, or a combination thereof, etc.), viewing private social network information (e.g., viewing a targeted or personalized message, tweet, picture, or a combination thereof, etc.), searching for entities on a social network, playing games via a social network, experiencing entertainment (e.g., video, audio, clips, pictures, or a combination thereof, etc.) via a social network, a listing of which social network(s) are accessed, an order of which social networks are accessed, a day or time of accessing particular social network(s), some combination thereof, or so forth.
  • social network e.g., viewing a person's wall, board, stream, pinning, or a combination thereof
  • social network member interactions 308a may include, but are not limited to, identifying or listing members interacted with via receiving, retrieving, sending, replying to or a combination thereof, etc. one or more communications; noting particular social network protocols or modes (e.g., wall writing or viewing, tweet sending or receiving, picture sending or viewing, public versus private communicating, or a combination thereof, etc.) used to communicate with particular members individually or in groups; noting particular social network protocols or modes used to communicate with particular member groups; some combination thereof; or so forth.
  • social network protocols or modes e.g., wall writing or viewing, tweet sending or receiving, picture sending or viewing, public versus private communicating, or a combination thereof, etc.
  • social network message interactions 308b may include, but are not limited to, noting (e.g., recording, memorializing, storing, identifying, or a combination thereof, etc.) messages sent or received, noting an order of message sending or viewing, noting a type (e.g., a social network protocol) of message sent or received, noting a number of messages sent or received, noting a duration between arrival of a message (e.g., generally or from a particular member) and viewing of the message, noting a duration between arrival or viewing of a message (e.g., generally or from a particular member) and responding to the message, some combination thereof, or so forth.
  • noting e.g., recording, memorializing, storing, identifying, or a combination thereof, etc.
  • a type e.g., a social network protocol
  • one or more communication modes employed 310 may include, but are not limited to, speech, a phone call, a voice-over- internet-protocol (VoIP) communication, text messaging, instant messaging, a video communication (e.g., a video call, a video conference, or a combination thereof, etc.), a sociai-network-based communication (e.g., a communication that is effectuated at least partially using a social network app, web site, service, or a combination thereof, etc.), some combination thereof, or so forth.
  • VoIP voice-over- internet-protocol
  • one or more communication modes employed 310 may include, but are not limited to, indicators of which communication mode is employed if/when responding to a received communication of a given communication mode (e.g., it may be noted that an authorized user may respond to most phone calls or phone calls from particular people with text messages).
  • indicators of which communication mode is employed if/when responding to a received communication of a given communication mode e.g., it may be noted that an authorized user may respond to most phone calls or phone calls from particular people with text messages.
  • claimed subject matter is not limited to any particular described embodiments, implementations, examples, etc.
  • one or more entity interactions 312 may include, but are not limited to, identification of at least one entity (e.g., business, service, person, social network member, group, organization, or a combination thereof, etc.) that a user interacts with (e.g., with or without an indicator of a communication mode, such as via a telephone capability, via email, via instant messaging, via a social network communication protocol, via VoIP, via a video capability, via a speech capability, or a combination thereof, etc.), a listing of entities interacted with, an order of entities interacted with, notations of when (e.g., a day, a time, days of week, or a combination thereof, etc.) entities are interacted with, notations of how (e.g., a communication mode used, a duration, or a combination thereof, etc.) entities are interacted with, some combination thereof, or so forth.
  • entity e.g., business, service, person, social network member, group, organization, or a combination thereof, etc.
  • one or more apps employed 314 may include, but are not limited to, identification of one or more apps (e.g., applications, native applications, downloaded applications, installed applications, software applications, web applications, or a combination thereof, etc.) employed (e.g., accessed, started, opened, launched, viewed, consulted, manipulated, configured, installed, executed, or a combination thereof, etc.) by a user, a listing of apps employed, an order of apps employed, a notation of a time or a day at which apps are employed, a notation of duration(s) for which apps are employed, some combination thereof, or so forth.
  • apps e.g., applications, native applications, downloaded applications, installed applications, software applications, web applications, or a combination thereof, etc.
  • employed e.g., accessed, started, opened, launched, viewed, consulted, manipulated, configured, installed, executed, or a combination thereof, etc.
  • a listing of apps employed e.g., an order of apps employed, a notation of
  • 316 may include, but are not limited to, an identification of transactions (e.g., exchanges of consideration, purchases, orders, downloads, or a combination thereof, etc.) conducted (e.g., initiated, requested, consummated, effectuated, accomplished, monitored, or a combination thereof, etc.), a list of transactions, a notation of times or days of transactions, a notation of transaction amounts, a notation of at least one party to one or more transactions, a notation of items (e.g., physical items such as food or electronics, virtual items such as songs or movies or games or in-game abilities, or a combination thereof, etc.) or services (e.g., physical services such as a massage or a car wash, virtual services such as streaming media or a membership, or a combination thereof, etc.) involved in one or more transactions, some combination thereof, or so forth.
  • an identification of transactions e.g., exchanges of consideration, purchases, orders, downloads, or a combination thereof, etc.
  • conducted e.g.
  • one or more user statuses 318 may include, but are not limited to, a location status update, a health status update, an alert (e.g., as to whether a person has possession or has lost possession of a device; as to whether a device has exceeded some percentage— e.g. 50% or 75% or 100%— of an allotted amount, such as of minutes of talking, bytes of data, messages of texting, dollars of a fund, time of use, etc.; as to where a person is currently located; a combination thereof; etc.), a current (e.g., most recent, present, or a combination thereof, etc.) activity update, some combination thereof, or so forth.
  • a location status update e.g., a health status update
  • an alert e.g., as to whether a person has possession or has lost possession of a device; as to whether a device has exceeded some percentage— e.g. 50% or 75% or 100%— of an allotted amount, such as of minutes of talking, bytes of data,
  • one or more other acts 320 may include, but are not limited to, other user behaviors, user habits, user actions, user movements, user interactions, user visitations, user transactions, device features (e.g., capabilities, native applications, operating system functions, or a combination thereof, etc.) employed, or a combination thereof, etc. that a device may monitor (e.g., detect, observe, discern, ascertain, or a combination thereof, etc.); other acts reflecting user behavior; other acts described herein; some combination thereof; or so forth.
  • device features e.g., capabilities, native applications, operating system functions, or a combination thereof, etc.
  • other acts reflecting user behavior e.g., observe, discern, ascertain, or a combination thereof, etc.
  • claimed subject matter is not limited to any particular described embodiments, implementations, examples, etc.
  • one or more predicted acts 322 may include, but are not limited to, an act that is predicted based at least partially on any one or more of other indicators 302-320; an act that is predicted to be performed by an authorized user; an act corresponding to a particular likelihood level of re-occurring; an act that is predicted to re-occur in view of one or more observed acts of at least one authorized user of one or more user devices; an act that is predicted to occur based at least partially on a statistical analysis (e.g., a likelihood function, a histogram evaluation, a probabilistic approach, a Bayesian analysis, a stochastic mechanism, a correlation procedure, a probability density function, a normal/Gaussian distribution, a cumulative distribution function, an expected value, or a combination thereof, etc.) of one or more historically-monitored acts; an act that has been repeatedly performed in certain manner(s) or at particular time(s) such that it can be expected to be performed again in such certain manner(s) or at
  • one or more other indicators 324 may include, but are not limited to, static characteristics of an authorized user, individuals that are related to an authorized user, characteristics of individuals that are related to an authorized user; nature of relationships between or among an authorized user and other individuals, some combination thereof, or so forth.
  • Non-exhaustive examples of other indicators 324 are provided herein below with particular reference to FIGS. 7A-7E, 8A-8D, 9A-9E, or 1QA-10B.
  • claimed subject matter is not limited to any particular described embodiments, implementations, examples, etc.
  • FIG. 4 is a schematic diagram 400 of an example user device including one or more example components in accordance with certain example embodiments.
  • a user device 102 may include one or more components such as: at least one processor 402, one or more media 404, logic 406, circuitry 408, at least one communication interface 410, at Ieast one interconnect 412, at Ieast one power source 414, at Ieast one user interface 416, one or more sensors 418, some combination thereof, or so forth.
  • a user device 102 may alternatively include more, fewer, or different component(s) from those that are illustrated without departing from claimed subject matter.
  • a user device 102 may include or comprise at Ieast one electronic device.
  • User device 102 may include, for example, a computing platform or any electronic device having at Ieast one processor or memory.
  • Processor 402 may include, by way of example but not limitation, any one or more of a general-purpose processor, a specific-purpose processor, a digital signal processor (DSP), a processing unit, some combination thereof, or so forth.
  • DSP digital signal processor
  • a processing unit may be implemented, for example, with one or more application specific integrated circuits (ASICs), DSPs, digital signal processing devices (DSPDs), programmable logic devices (PLDs), field programmable gate arrays (FPGAs), processors generally, processing cores, discrete/fixed logic circuitry, controllers, micro-controllers, microprocessors, some combination thereof, or so forth.
  • ASICs application specific integrated circuits
  • DSPs digital signal processing devices
  • DSPDs digital signal processing devices
  • PLDs programmable logic devices
  • FPGAs field programmable gate arrays
  • processors generally, processing cores, discrete/fixed logic circuitry, controllers, micro-controllers, microprocessors, some combination thereof, or so forth.
  • Media 404 may bear, store, contain, include, provide access to, or a combination thereof, etc.
  • instructions 420 which may be executable by a processor 402; at ieast one behavioral fingerprint 110; one or more settings/parameters 422; some combination thereof; or so forth, instructions 420 may include or comprise, by way of example but not limitation, a program, a module, an application or app (e.g., that is native, that runs in a browser, that runs within a virtual machine, or a combination thereof, etc.), an operating system, or a combination thereof, etc. or portion thereof; operational data structures; source code, object code, just-in-time (JIT) compiled code, or a combination thereof, etc.; processor-executable instructions; other code; some combination thereof; or so forth.
  • a program e.g., that is native, that runs in a browser, that runs within a virtual machine, or a combination thereof, etc.
  • JIT just-in-time
  • Media 404 may include, by way of example but not limitation, processor-accessible or non-transitory media (e.g., memory, random access memory (RAM), read only memory (ROM), flash memory, hard drives, disk-based media, disc-based media, magnetic storage, optical storage, volatile memory, nonvolatile memory, or a combination thereof, etc.) that is capable of bearing instructions, a behavioral fingerprint, settings, parameters, some combination thereof, or so forth.
  • processor-accessible or non-transitory media e.g., memory, random access memory (RAM), read only memory (ROM), flash memory, hard drives, disk-based media, disc-based media, magnetic storage, optical storage, volatile memory, nonvolatile memory, or a combination thereof, etc.
  • execution of instructions 420 by one or more processors 402 may transform user device 102 into a special-purpose computing device, apparatus, platform, machine, some combination thereof, or so forth.
  • Instructions 420 may include, for example, instructions that are capable of realizing at least a portion of one or more flow diagrams, methods, processes, procedures, operations, functionality, technology, mechanisms, or a combination thereof, etc. that are described herein or illustrated in the accompanying drawings.
  • Settings/parameters 422 may include, by way of example but not limitation, one or more settings or parameters that may be established or determined by a user or other entity, one or more or settings or parameters that may be determined or detected by a user device 102, one or more settings or parameters that may be received from another device that determined or detected them, one or more settings or parameters that may determine at least partly how a user device 102 is to operate or respond to a situation or a behavioral fingerprint, one or more settings or parameters (e.g., values) that may be used to realize flow diagrams, methods, processes, procedures, operations, functionality, technology, mechanisms, or a combination thereof, etc. that are described herein or illustrated in the accompanying drawings.
  • Settings/parameters 422 may control at least partially how at least one behavioral fingerprint 110 is configured, stored, shared, used, applied, some combination thereof, or so forth. Additionally or alternatively, at least a portion of settings/parameters 422 may be at least partially integrated with at least one behavioral fingerprint 110.
  • logic 406 may include hardware, software, firmware, discrete/fixed logic circuitry, or a combination thereof, etc. that is capable of performing or facilitating performance of flow diagrams, methods, processes, procedures, operations, functionality, technology, mechanisms, or a combination thereof, etc. that are described herein or illustrated in the accompanying drawings.
  • Circuitry 408 may include hardware, software, firmware, discrete/fixed logic circuitry, or a combination thereof, etc. that is capable of performing or facilitating performance of flow diagrams, methods, processes, procedures, operations, functionality, technology, mechanisms, or a combination thereof, etc. that are described herein or illustrated in the accompanying drawings, wherein circuitry 408 includes at least one physical or hardware component or aspect.
  • one or more communication interfaces are provided.
  • a communication interface 410 may include, by way of example but not limitation, a screen, a speaker, a keyboard or keys, a microphone, or other person-device input/output apparatuses.
  • a wireless communication interface 410a or a wired communication interface 410b may also or alternatively include, by way of example but not limitation, a transceiver (e.g., a transmitter or a receiver), a radio, an antenna, a wired interface connector or other similar apparatus (e.g., a network connector, a universal serial bus (USB) connector, a proprietary connector, a Thunderbolt ® or Light Peak ® connector, or a combination thereof, etc.), a physical or logical network adapter or port, a frequency converter, a baseband processor, or a combination thereof, etc. to communicate wireless signals or wired signals via one or more wireless communication links or wired communication links, respectively, such as over at least one channel 108 (e.g., of FIGS. 1 and 2A). Communications with at least one communication interface 410 may enable transmitting, receiving, or initiating of transmissions, just to name a few examples.
  • a transceiver e.g., a transmitter or a receiver
  • a radio
  • At least one interconnect 412 may enable signal communication between or among components of user device 102.
  • interconnect 412 may include, by way of example but not limitation, one or more buses, channels, switching fabrics, some combination thereof, or so forth.
  • one or more components of user device 102 may be coupled to interconnect 412 via a discrete or integrated interface.
  • one or more interfaces may couple a communication interface 410 or a processor 402 to at least one interconnect 412.
  • at least one power source 414 may provide power to one or more components of user device 102.
  • Power source 414 may include, by way of example but not limitation, a battery, a power connector, a solar power source or charger, a mechanical power source or charger, a fuel source, some combination thereof, or so forth.
  • At least one sensor 418 may sense, produce, or otherwise provide at least one sensor value.
  • Sensors 418 may include, by way of example only, a camera, a microphone, an accelerometer, a thermometer, a satellite positioning system (SPS) sensor, a barometer, a humidity sensor, a compass, a gyroscope, a magnetometer, a pressure sensor, an oscillation detector, a light sensor, an inertial measurement unit (IM U), a tactile sensor, a touch sensor, a flexibility sensor, a microelectromechanica! system (M EMS), some combination thereof, or so forth.
  • SPS satellite positioning system
  • IM U inertial measurement unit
  • M EMS microelectromechanica! system
  • Values provided by at least one sensor 418 may include, by way of example but not limitation, an image, a sound recording, an acceleration value, a temperature, SPS coordinates, a barometric pressure, a humidity level, a compass direction, a gyroscopic value, a magnetic reading, a pressure value, an oscillation value, an ambient light reading, inertial readings, touch detections, finger placements, flex detections, some combination thereof, or so forth.
  • a user interface 416 may enable one or more users to interact with user device 102.
  • Interactions between a user and a user device may relate, by way of example but not limitation: to touch/tacti!e/feeling/haptic sensory (e.g., a user may shake, rotate, decline/incline, bend, twist, or move a user device which may be detected by a gyroscope, an accelerometer, a compass, or a combination thereof, etc.; a user may press a button, slide a switch, rotate a knob, etc.; a user may touch a touch-sensitive screen; a device may vibrate; some combination thereof; or so forth), to sound/hearing/speech sensory (e.g., a user may speak into a microphone, a device may generate sounds via a speaker, or a combination thereof, etc.), to sights/vision sensory (e.g., a device may activate one or more lights, modify an image presented on a display
  • a user interface 416 may include a user input interface 416a, a user output interface 416b, some combination thereof, or so forth.
  • a user input interface 416a may include, by way of example but not limitation, a microphone, a button, a switch, a dial, a knob, a wheel, a trackball, a key, a keypad, a keyboard, a touch-sensitive screen, a touch-sensitive surface, a camera, a gyroscope, an accelerometer, a compass, a virtual button/slider/keyboard/etc. presented on a touch- sensitive screen, some combination thereof, or so forth.
  • a user output interface 416b may include, by way of example but not limitation, a speaker, a screen (e.g., with or without touch-sensitivity), a vibrating haptic feature, some combination thereof, or so forth. Certain user interfaces 416 may enable both user input and user output. For example, a touch-sensitive screen may be capable of providing user output and accepting user input. Additionally or alternatively, a user interface 416 component (e.g., that may be integrated with or separate from a user device 102), such as a headset that has a microphone and a speaker, may enable both user input and user output.
  • a given component may provide multiple functionalities.
  • a single component such as a USB connector may function as a wired communication interface 410b or a power source 414.
  • a single component such as a display screen may function as a communication interface 410 with respect to a user, as a user input interface 416a, or as a user output interface 416b.
  • one or more instructions 420 may function to realize at least part of a behavioral fingerprint 110 or at least one setting or parameter 422.
  • components that are illustrated in schematic diagram 400 or described herein may or may not be integral with or integrated into a user device 102.
  • a component may be removably connected to a user device 102, a component may be wirelessly coupled to a user device 102, some combination thereof, or so forth.
  • instructions 420 may be stored on a removable card having at least one medium 404.
  • a user interface 416 e.g., a wired or wireless headset, a screen, a video camera, a keyboard, or a combination thereof, etc.
  • a user interface 416 may be coupled to a user device 102 wirelessly or by wire.
  • claimed subject matter is not limited to any particular described embodiments, implementations, examples, etc.
  • a user device 102 does not have a portion of a behavioral fingerprint 110 or ad-hoc/real-time data on which to at least partially base an operation to be performed, it or they can be requested by a user device 102 or otherwise delivered to a user device 102 (e.g., via a communication interface 410) from a server device 112, from another user device 102, from another device, from some combination thereof, or so forth.
  • a user device 102 does not have a portion of a behavioral fingerprint 110 or ad-hoc/real-time data on which to at least partially base an operation to be performed, it or they can be requested by a user device 102 or otherwise delivered to a user device 102 (e.g., via a communication interface 410) from a server device 112, from another user device 102, from another device, from some combination thereof, or so forth.
  • claimed subject matter is not limited to any particular described embodiments, implementations, examples, etc.
  • FIG. 5 is a schematic diagram 500 of an example server device including one or more example components in accordance with certain example embodiments.
  • a server device 112 may include one or more components such as: at least one processor 502, one or more media 504, logic 506, circuitry 508, at least one communication interface 510, at least one interconnect 512, at least one power source 514, at least one entity interface 516, some combination thereof, or so forth.
  • one or more media 504 may include one or more instructions 518, at least one behavioral fingerprint 110, one or more settings or parameters 520, some combination thereof, or so forth; or communication interface 510 may include at least one wireless communication interface 510a, at least one wired communication interface 510b, some combination thereof, or so forth.
  • a server device 112 may alternatively include more, fewer, or different component(s) from those that are illustrated without departing from claimed subject matter.
  • a server device 112 may include or comprise at least one processing or computing device or machine.
  • Server device 112 may include or comprise, for example, a computing platform or any electronic device or devices having at least one processor or memory.
  • Processor 502 may include, by way of example but not limitation, any one or more of a general-purpose processor, a specific- purpose processor, a digital signal processor (DSP), a processing unit, some combination thereof, or so forth.
  • DSP digital signal processor
  • a processing unit may be implemented, for example, with one or more application specific integrated circuits (ASICs), DSPs, digital signal processing devices (DSPDs), programmable logic devices (PLDs), field programmable gate arrays (FPGAs), processors generally, processing cores, discrete/fixed logic circuitry, controllers, micro-controllers, microprocessors, some combination thereof, or so forth.
  • ASICs application specific integrated circuits
  • DSPs digital signal processing devices
  • DSPDs digital signal processing devices
  • PLDs programmable logic devices
  • FPGAs field programmable gate arrays
  • processors generally, processing cores, discrete/fixed logic circuitry, controllers, micro-controllers, microprocessors, some combination thereof, or so forth.
  • Media 504 may bear, store, contain, include, provide access to, or a combination thereof, etc. instructions 518, which may be executable by a processor 502; at least one behavioral fingerprint 110; one or more settings/parameters 520; some combination thereof; or so
  • Instructions 518 may include or comprise, by way of example but not limitation, a program, a module, an application or app (e.g., that is native, that runs in a browser, that runs within a virtual machine or server, or a combination thereof, etc.), an operating system, or a combination thereof, etc. or portion thereof; operational data structures; source code, object code, just ⁇ in ⁇ time (J IT) compiled code, or a combination thereof, etc.; processor-executable instructions; other code; some combination thereof; or so forth.
  • a program e.g., that is native, that runs in a browser, that runs within a virtual machine or server, or a combination thereof, etc.
  • an operating system e.g., an operating system, or a combination thereof, etc. or portion thereof
  • operational data structures e.g., source code, object code, just ⁇ in ⁇ time (J IT) compiled code, or a combination thereof, etc.
  • processor-executable instructions e.g., other code, some combination
  • Media 504 may include, by way of example but not limitation, processor-accessible or non-transitory media (e.g., memory, random access memory (RAM), read only memory (ROM), flash memory, hard drives, disk-based media, disc-based media, magnetic storage, optical storage, volatile memory, nonvolatile memory, or a combination thereof, etc.) that is capable of bearing instructions, at least one behavioral fingerprint, settings, parameters, some combination thereof, or so forth.
  • processor-accessible or non-transitory media e.g., memory, random access memory (RAM), read only memory (ROM), flash memory, hard drives, disk-based media, disc-based media, magnetic storage, optical storage, volatile memory, nonvolatile memory, or a combination thereof, etc.
  • instructions 518 may transform server device 112 into a special-purpose computing device, apparatus, platform, machine, some combination thereof, or so forth, instructions 518 may include, for example, instructions that are capable of realizing at least a portion of one or more flow diagrams methods, processes, procedures, operations, functionality, technology, mechanisms, or a combination thereof, etc. that are described herein or illustrated in the accompanying drawings.
  • Settings/parameters 520 may include, by way of example but not limitation, one or more settings or parameters that may be established by a user or other entity, one or more settings or parameters that may be determined by a server device 112, one or more settings or parameters that may be determined by a user or other entity, one or more settings or parameters that may be detected by a server device 112, one or more settings or parameters that may be received from another device that detected them, one or more settings or parameters that may determine at least partly how a server device 112 is to operate or respond to a situation or a behavioral fingerprint, one or more settings or parameters (e.g., values) that may be used to realize flow diagrams, methods, processes, procedures, operations, functionality, technology, mechanisms, or a combination thereof, etc.
  • settings or parameters e.g., values
  • Settings/parameters 520 may control at least partially how at least one behavioral fingerprint 110 is configured, stored, shared, used, applied, some combination thereof, or so forth. Additionally or alternatively, at least a portion of settings/parameters 520 may be at least partially integrated with at least one behavioral fingerprint 110.
  • logic 506 may include hardware, software, firmware, discrete/fixed logic circuitry, or a combination thereof, etc. that is capable of performing or facilitating performance of f!ow diagrams, methods, processes, procedures, operations, functionality, technology, mechanisms, or a combination thereof, etc. that are described herein or illustrated in the accompanying drawings.
  • Circuitry 508 may include hardware, software, firmware, discrete/fixed logic circuitry, or a combination thereof, etc. that is capable of performing or facilitating performance of flow diagrams, methods, processes, procedures, operations, functionality, technology, mechanisms, or a combination thereof, etc, that are described herein or illustrated in the accompanying drawings, wherein circuitry 508 includes at least one physical or hardware component or aspect.
  • one or more communication interfaces are provided.
  • a wireless communication interface 510a or a wired communication interface 510b may also or alternatively include, by way of example but not limitation, a transceiver (e.g., a transmitter or a receiver), a radio, an antenna, a wired interface connector or other similar apparatus (e.g., a network connector, a universal serial bus (USB) connector, a proprietary connector, a Thunderbolt ® or Light Peak ® connector, a gateway, or a combination thereof, etc.), a physical or logical network adapter or port, a frequency converter, a baseband processor, an internet or telecommunications backbone connector, a fiber optic connector, a storage area network (SAN) connector, or a combination thereof, etc.
  • a transceiver e.g., a transmitter or a receiver
  • a radio e.g., a radio, an antenna, a wired interface connector or other similar apparatus (e.g., a network connector, a universal serial bus (USB) connector, a
  • Communications with at least one communication interface 510 may enable transmitting, receiving, or initiating of transmissions, just to name a few examples.
  • At least one interconnect 512 may enable signal communication between or among components of server device 112.
  • interconnect 512 may include, by way of example but not limitation, one or more buses, channels, switching fabrics, local area networks (LANs), storage area networks (SANs), some combination thereof, or so forth.
  • LANs local area networks
  • SANs storage area networks
  • one or more components of server device 112 may be coupled to interconnect 512 via a discrete or integrated interface.
  • one or more interfaces may couple a processor 502 or a medium 504 to at least one interconnect 512.
  • at least one power source 514 may provide power to one or more components of server device 112.
  • Power source 514 may include, by way of example but not limitation, a power connector for accessing an electrical grid, a fuel cell, a solar power source, some combination thereof, or so forth.
  • an entity interface 516 may enable one or more entities (e.g., another device, a person, a group, a robotic entity, or a combination thereof, etc.) to provide input to or receive output from server device 112. interactions between an entity and a device may relate, by way of example but not limitation, to inputting or outputting instructions, commands, settings, parameters, indications or indicators, some combination thereof, or so forth. Certain entity interfaces 516 may enable both entity input and entity output at server device 112 or over at least one network link, such as one or more channels 108 (e.g., of FIGS. 1 and 2A).
  • entities e.g., another device, a person, a group, a robotic entity, or a combination thereof, etc.
  • interactions between an entity and a device may relate, by way of example but not limitation, to inputting or outputting instructions, commands, settings, parameters, indications or indicators, some combination thereof, or so forth.
  • Certain entity interfaces 516 may enable both entity input and entity output at server device 112 or over
  • components that are illustrated in schematic diagram 500 or described herein may not be integral or integrated with a server device 112.
  • a component may be removably connected to a server device 112
  • a component may be wirelessly coupled to a server device 112
  • one or more components of a server device 112 may be geographically distributed or separated from one another, some combination thereof, or so forth.
  • instructions 518 may be stored on one medium 504, and settings/parameters 520 (or another portion of instructions 518) may be stored on a different medium 504, which may include a same server or a part of a different server of, e.g., a server farm.
  • respective processor-media sets may be physically realized on different or respective server blades or server containers.
  • Multiple server blades may be linked or interlinked to realize at least one server device 112.
  • claimed subject matter is not limited to any particular described embodiments, implementations, examples, etc.
  • a server device 112 does not have a portion of a behavioral fingerprint 110 or ad-hoc/real-time data on which to at least partially base an operation to be performed, it or they can be requested by a server device 112 or otherwise delivered to a server device 112 (e.g., via a communication interface 510) from a user device 102, from another server device 112, from another device, from some combination thereof, or so forth.
  • a server device 112 does not have a portion of a behavioral fingerprint 110 or ad-hoc/real-time data on which to at least partially base an operation to be performed, it or they can be requested by a server device 112 or otherwise delivered to a server device 112 (e.g., via a communication interface 510) from a user device 102, from another server device 112, from another device, from some combination thereof, or so forth.
  • claimed subject matter is not limited to any particular described embodiments, implementations, examples, etc.
  • FIGS. 6A and 6B are schematic diagrams 800A and 600B of an example user device and an example server device, respectively, that have one or more functional modules in accordance with certain example embodiments.
  • schematic diagrams 600A and 600B may depict a user device 102 and a server device 112, respectively.
  • a user device 102 or a server device 112 may include, but are not limited to, at least one authentication module 602, at least one authorization module 604, at least one behavioral fingerprint module 606, a combination thereof, or so forth.
  • a user device 102 or a server device 112 may alternatively include more, fewer, or different module(s) from those that are illustrated without departing from claimed subject matter.
  • a module may include or be comprised of at least one processor (e.g., a processor 402 of FIG. 4, a processor 502 of FIG. 5, or a combination thereof, etc.), one or more media (e.g., a medium 404 of FIG. 4, a media medium 504 of FIG. 5, or a combination thereof, etc.), executable instructions (e.g., processor-executable instructions, instructions 420 of FIG. 4, instructions 518 of FIG. 5, computer-implementable instructions, or a combination thereof, etc.), logic (e.g., logic 406 of FIG. 4, logic 506 of FIG. 5, or a combination thereof, etc.), circuitry (e.g., circuitry 408 of FIG.
  • processor e.g., a processor 402 of FIG. 4, a processor 502 of FIG. 5, or a combination thereof, etc.
  • media e.g., a medium 404 of FIG. 4, a media medium 504 of FIG. 5, or a combination thereof, etc.
  • executable instructions e
  • one or more modules e.g., an authentication module 602, an authorization module 604, a behavioral fingerprint module 606, or a combination thereof, etc.
  • one or more modules e.g., an authentication module 602, an authorization module 604, a behavioral fingerprint module 606, or a combination thereof, etc.
  • modules e.g., an authentication module 602, an authorization module 604, a behavioral fingerprint module 606, or a combination thereof, etc.
  • claimed subject matter is not limited to any particular described embodiments, implementations, examples, etc.
  • an authentication module 602 may operate to authenticate a user of a device.
  • a user of a device may be authenticated by determining to some (e.g., reasonable, acceptable, measurable, quantifiable, or a combination thereof, etc.) degree an identity of a user.
  • an authentication module 602 may enable implementation of multiple degrees of authentication, with different degrees of authentication corresponding to different levels of certainty of an identity of a user. Example aspects related to authentication are described further herein (e.g., at least herein above with particular reference to FIG. 1). However, claimed subject matter is not limited to any particular described embodiments, implementations, examples, etc.
  • an authorization module 604 may operate to permit or enable full or at least partial access to, use of, implementation of, execution of, or a combination thereof, etc. one or more features, applications, accounts, profiles, data, capabilities, or a combination thereof, etc. of at least one device, such as a user device 102 or a server device 112.
  • authorization may be fully or at least partially granted, denied, withheld, or a combination thereof, etc. based at least partially on an authentication determination, a result from an authentication module 602, some combination thereof, or so forth.
  • an authorization module 604 may provide for different levels of authorization, including but not limited to those for a given authorized user, that correspond to different degrees of authentication, that correspond to different user identities, some combination thereof, or so forth.
  • Example aspects related to authorization are described further herein (e.g., at least herein above with particular reference to FIG. 1).
  • claimed subject matter is not limited to any particular described embodiments, implementations, examples, etc.
  • a behavioral fingerprint module 606 may operate to implement, perform, facilitate performance of, or a combination thereof, etc. one or more flow diagrams, methods, processes, procedures, operations, functionality, technology, modules, mechanisms, or a combination thereof, etc. that are described herein or illustrated in the accompanying drawings or that relate to at least one behavioral fingerprint.
  • a behavioral fingerprint module 606 may provide information, monitored acts, likelihood values, determinations, comparisons, analyses, indications or indicators, predicted acts, or a combination thereof, etc, to an authentication module 802 on which it may at least partially base an authentication determination.
  • Example aspects related to behavioral fingerprinting are described further herein above and below. However, claimed subject matter is not limited to any particular described embodiments, implementations, examples, etc.
  • FIG. 7A is a schematic diagram 700A that includes at least one example device that is capable of handling scenarios for behavioral fingerprinting with retail monitoring in accordance with certain example embodiments.
  • schematic diagram 700A includes at least one device that may include an interaction-related communication module 702 or an interaction- related administration module 704. More specifically, schematic diagram 700A may include a user device 102 or a server device 112.
  • an interaction-related communication module 702 or an interaction-related administration module 704 may include or comprise or be realized with at least one processor that executes instructions (e.g., sequentially, in parallel, at least partially overlapping in a time-multiplexed fashion, at least partially across multiple cores, or a combination thereof, etc.) as at least one special-purpose computing component, or otherwise as described herein.
  • instructions e.g., sequentially, in parallel, at least partially overlapping in a time-multiplexed fashion, at least partially across multiple cores, or a combination thereof, etc.
  • special-purpose computing component or otherwise as described herein.
  • an interaction-related communication module 702 or an interaction-related administration module 704 may be implemented separately or at least partially jointly or in combination.
  • an interaction-related communication module 702 may be configured to communicate for at least one interaction related to a user of a user device in a behavioral fingerprint habitat.
  • an interaction- related administration module 704 may be configured to administer at least an aspect of at least one interaction related to a user of a user device in a behavioral fingerprint habitat.
  • FIGS. 7B-7E are schematic diagrams 700B-700E that include at least one example device and that depict example scenarios for implementing behavioral fingerprinting with retail monitoring in accordance with certain example embodiments.
  • one or more of schematic diagrams 700B-700E may include at least one user device 102, at least one user 104, at least one behavioral fingerprint 110, at least one server device 112, at least one communication 706, at least one interaction 708, at least one behavioral fingerprint habitat 710, or at least one administration 712.
  • Each of schematic diagrams 700B-700E may include alternative or additional depictions, which may relate to behavioral fingerprinting with retail monitoring, as described herein.
  • FIGS. 7B-7E are schematic diagrams 700B-700E that include at least one example device and that depict example scenarios for implementing behavioral fingerprinting with retail monitoring in accordance with certain example embodiments.
  • one or more of schematic diagrams 700B-700E may include at least one user device 102, at least one user 104, at least one behavioral fingerprint 110, at least one server device 112, at least one communication 706,
  • FIGS. 8A-3D, 9A-9E, or 10A-10B illustrated aspects of schematic diagrams 700B-700E may be relevant to example description with reference to FIGS. 8A-3D, 9A-9E, or 10A-10B.
  • claimed subject matter is not limited to any particular described embodiments, implementations, examples, etc.
  • schematic diagram 700B may include at least one user device 102, at least one user 104, at least one behavioral fingerprint 110, at least one server device 112, at least one communication 706, at least one interaction 708, at least one behavioral fingerprint habitat 710, or at least one administration 712.
  • a communication 706 may comprise or include an incoming communication, an outgoing communication, an intra-device communication, an inter-device communication, an internal communication within a company, an external communication to outside of a company, a transmission, a reception, a signaling, an intra-cloud communication, an inter-cloud communication, or a combination thereof, etc.
  • an administration 712 may comprise or include a management, a supervision, a providing of a response to, an implementing an application of, a being in charge of, a use of, a making application of, a handling of, a cataloging of, coordinating a continuation of, initiating a cessation or change regarding, or a combination thereof, etc. that is effectuated or facilitated or performed at least partially using or with or via at least one server device 112.
  • a communication 706 and an administration 712 may be effectuated or facilitated or performed at least partially using or with or via at least one user device 102 (e.g., with a retail monitoring app that is resident thereon).
  • a communication 706 and an administration 712 may be effectuated or facilitated or performed at least partially using or with or via at least one user device 102 (e.g., with a retail monitoring app that is resident thereon).
  • claimed subject matter is not limited to any particular described embodiments, implementations, examples, etc.
  • an interaction 708 may comprise or include a direct or indirect interaction between or among at least one user device 102 and at least one user 104.
  • Examples of interactions 708 may include, by way of example but not limitation, a user interface manipulation of a user device 102 by a user 104, an in-person purchase made by a user 104 via a user device 102, an internet purchase or order made by a user 104 with a user device 102, an indoor or an outdoor navigation by a user 104 with a user device 102, monitoring of a user 104 by a user device 102, providing information to a user 104 by a user device 102, providing input to a user device 102 by a user 104, carrying a user device 102 by a user 104, communicating with others by a user 104 via a user device 102, presenting a social network stream or newsfeed or viewing a social network timeline of a user 104 with a user device 102, a user device 102 providing social network
  • behavioral fingerprint habitat 710 may comprise or include an environment, at least one network, at least one user device, at least one server device, an appiication programming interface (API), an other device, a point of sale terminal, a web service, a cloud computing platform, a shopping service, or a combination thereof, etc. in conjunction with at least a portion of a behavioral fingerprint 110 or a distributed implementation of at least one behavioral fingerprint 110 (e.g., as described herein including, by way of example but not limitation, herein above with particular reference to FIGS. 1, 2A, 2B, or 3).
  • API appiication programming interface
  • schematic diagram 700C may include at least one user device 102, at least one user 104, at least one behavioral fingerprint 110, at least one server device 112, at least one communication 706, at least one interaction 703, at least one behavioral fingerprint habitat 710, at least one administration 712, at least one social network 714, at least one cloud 716, at least one other device 718, at least one point of sale (POS) device 718*, at least some retail monitoring 719, or at least one utilization indicator 720.
  • POS point of sale
  • schematic diagram 700C may include: a user device 102 that may correspond to a user 104, which user 104 may be a current user or may include or comprise an authorized user or an unauthorized user of a user device 102; a server device 112, which may operate within or as part of a cloud 716 or which may operate as part of or on behalf of an entity that engages in retail monitoring 719.
  • a cloud 716 may include at least a portion of a server device, one or more server devices, a provider or utilizer of a cloud service, a provider or utilizer of cloud computing, a combination thereof, or so forth.
  • a behavioral fingerprint 110 may include one or more utilization indicators 720.
  • at least one utilization indicator 720 may include or comprise at least one indicator of any of indicators 302-324 (e.g., of FIG. 3).
  • claimed subject matter is not limited to any particular described embodiments, implementations, examples, etc.
  • retail monitoring 719 may be at least partially implemented, realized, or operated by, via, or using at least one server device 112.
  • Retail monitoring 719 may include, by way of example but not limitation, facilitating a retail transaction, providing a virtual store front, enabling purchases of goods or services over the web, enabling a purchase or order via an application, enabling a purchase or order via a browser, empowering a user to make payment for a good or service with a user device, reporting a transaction including an exchange of consideration for a good or service, memorializing aspects of a transaction, processing a transaction, approving or authorizing a purchase, keeping track of purchases or locations at which they are initiated or consummated, maintaining a loyalty or customer appreciation program, coordinating a flow of funds or credit to effectuate a purchase or order, providing coupons or discounts based on historical purchases or current location, or a combination thereof, etc.
  • Retail monitoring 719 may include, oversee, or handle one or more interactions 708 that include or involve at least one user 104 or at least one user device 102.
  • retail monitoring 719 may be at least partially implemented, realized, or operated by, via, or using at least one user device 102, such as with an operating system (OS) function thereof or an application resident thereat or executing thereon.
  • OS operating system
  • claimed subject matter is not limited to any particular described embodiments, implementations, examples, etc.
  • a social network 714 may operate on or via at least one server device.
  • a social network 714 may include, by way of example but not imitation, a service, a physical network, a communication layer of a network, an internet location, a website, a computing infrastructure, one or more servers, an application, an interface, cloud computing, or a combination thereof, etc, that enables or facilitates interaction (e.g., via text, images, audio, video, or a combination thereof, etc.) between or among two or more members of a social network.
  • the term “social” in "social network” should not be interpreted to exclude networks designed or intended for professional or specific purposes.
  • Examples of social networks may include, but are not limited to, Facebook, Google-*-, Twitter, Linkedln, yspace, Pinterest, Classmates[dot]com, Flickr, Foursquare, Friendster, LiveJourna!, Meetup, Netiog, Orkut, Sina Weibo, Ozone, Habbo, instagram, or so forth.
  • claimed subject matter is not limited to any particular described embodiments, implementations, examples, etc.
  • an other device 718 may be operated or owned by a user 104 of a user device 102, may be operated or owned by a service provider, may be operated or owned by a social network 714, may be operated or owned by a third party, may be operated or owned by a retail establishment such as by a proprietor or corporate owner thereof, may be operated or owned by an entity affiliated with a server device 112, may be operated or owned by a payment systems company (e.g., a credit card company, a debit card company, a banking company, a web-based payment entity, or a combination thereof, etc.) that enables or facilitates retail purchases, may be operated by one of the above and owned by another, or so forth.
  • a payment systems company e.g., a credit card company, a debit card company, a banking company, a web-based payment entity, or a combination thereof, etc.
  • other device 718 may be communicatively coupled to a user device 102, a server device 112, a combination thereof, or so forth.
  • other device 718 may be integrated with a user device 102, may be physically connected to a user device 102, may be wirelessly coupled to a user device 102, may be coupled by wire to a user device 102, may be coupled by wire or wirelessly to a server device 112, may be coupled to a user device 102 or a server device 112 via one or more networks, some combination thereof, or so forth.
  • Other device 718 may additionally or alternatively be capable of bidirectional or unidirectional communication with one or more servers 112 (e.g., of a cloud computing environment 716 or via one or more channels 108 (e.g., of FIG. 1 and 2A), which channei(s) 108 may include at least part of at least one network, such as an internet).
  • servers 112 e.g., of a cloud computing environment 716 or via one or more channels 108 (e.g., of FIG. 1 and 2A), which channei(s) 108 may include at least part of at least one network, such as an internet).
  • Other device 718 may include or comprise at least a part of, by way of example but not limitation: a point-of-sale (POS) device 718*, such as a terminal or a tablet computer having check-out capability or a register; an attachment augmenting a POS device; an attachment to a user device 102; a device that accepts credit, debit, or other payment cards and is coupled to a user device 102 or a POS device; a device that is coupled to a POS device 718* and communicates visually or via radio frequency (RF) waves with a user device 102; a device that accepts or generates sensor readings and forwards them to a server 112; a device that collects, determines, or forwards environmental parameter data; a device that forwards other data collected or produced at a user device 102 to a server 112; a device that forwards other data collected or produced or provided by a server 112 to a user device 102; a combination thereof; or so forth.
  • POS point-of
  • Data may be collected at or by other device 718 or funneled through other device 718 between or among at least one user device 102 or one or more server devices 112.
  • Device 718 may be collected at or by other device 718 or funneled through other device 718 between or among at least one user device 102 or one or more server devices 112.
  • claimed subject matter is not limited to any particular described embodiments, implementations, examples, etc. Additional or alternative description that may be relevant to schematic diagram 700C is provided herein below with particular reference to one or more of any of FIGS. 8A-8D, FIGS. 9A-9E, or FIGS. 10A-10B.
  • schematic diagram 700D may include at least one user device 102, at least one user 104, at least one behavioral fingerprint 110, at least one server device 112, at least one communication 706, at least one interaction 708, at least one behavioral fingerprint habitat 710, at least one administration 712, at least one social network 714, at least one other device 718, at least one POS device 718*, at least some retail monitoring 719, at least one utilization indicator 720, at least one characteristic 722, at least one authentication Hkelihood 724, at least one environmental parameter 726, at least one event 728, or at least one application programming interface (API) 730.
  • API application programming interface
  • schematic diagram 700E may include at least one user device 102, at least one user 104, at least one behavioral fingerprint 110, at least one server device 112, at least one communication 706, at least one interaction 708, at least one behavioral fingerprint habitat 710, at least one administration 712, at least one other device 718, at least one POS device 718*, at least some retail monitoring 719, at least one utilization indicator 720, at least one analysis 732, or at least one retail loyalty program account 734.
  • claimed subject matter is not limited to any particular described embodiments, implementations, examples, etc. Additional or alternative description that may be relevant to schematic diagram 700E is provided herein below with particular reference to one or more of any of FIGS. 8A-8D, FIGS. 9A-9E, or FIGS. 10A-10B.
  • FIG. 8A is a flow diagram 800A illustrating an example method for at least one device with regard to behavioral fingerprinting with retail monitoring in accordance with certain example embodiments.
  • flow diagram 800A may include any of operations 802-804.
  • operations 802-804 are shown or described in a particular order, it should be understood that methods may be performed in alternative manners without departing from claimed subject matter, including, but not limited to, with a different order or number of operations or with a different relationship between or among operations.
  • at least some operation(s) of flow diagram 800A may be performed so as to be fully or partially overlapping with other operation(s).
  • one or more operations of flow diagram 800A may be performed by at least one server device (e.g., a server device 112).
  • one or more operations of flow diagram 800A may be performed by at least one user device (e.g., a user device 102).
  • a method for behavioral fingerprinting with retail monitoring (e.g., that includes, involves, relates to, is associated with, or a combination thereof, etc. at least some retail monitoring 719), which method may be at least partially implemented using hardware (e.g., circuitry, at least one processor, processor-accessible memory, or a combination thereof, etc.) such as that of a server device, may include an operation 802 or an operation 804.
  • An operation 802 may be directed at least partially to communicating for at least one interaction related to a user of a user device in a behavioral fingerprint habitat.
  • At least one device may communicate 706 (e.g., accept an incoming communication, send an outgoing communication, participate in an intra-device communication, participate in an inter-device communication, receive or transmit an internal communication within a company, receive or transmit an external communication outside of a company, make a transmission, make a reception, provide a signaling, participate in an intra-cloud communication, participate in an inter-cloud communication, or a combination thereof, etc.) for at least one interaction 708 (e.g., a user interface manipulation of a user device by a user, an in-person purchase made by a user via a user device, an internet purchase or order made by a user with a user device, indoor or outdoor navigation by a user with a user device, monitoring of a user by a user device, providing information to a user by a user device, providing input to a user device by a user, carrying a user device by a user, communicating with others by a user via a user device, presenting a social network stream or news
  • a user 104 of a user device 102 in a behavioral fingerprint habitat 710 e.g., an environment, at least one network, at least one user device, at least one server device, an application programming interface (API), an other device, a point of sale terminal, a web service, a cloud computing platform, a shopping service, or a combination thereof, etc.
  • a behavioral fingerprint habitat 710 e.g., an environment, at least one network, at least one user device, at least one server device, an application programming interface (API), an other device, a point of sale terminal, a web service, a cloud computing platform, a shopping service, or a combination thereof, etc.
  • API application programming interface
  • a server may communicate for at least one interaction related to a user of a user device in a behavioral fingerprint habitat (e.g., an Amazon server having access to at least a portion of a behavioral fingerprint may receive a location of an Android smartphone along with an item for potential purchase by a user of the Android smartphone).
  • a behavioral fingerprint habitat e.g., an Amazon server having access to at least a portion of a behavioral fingerprint may receive a location of an Android smartphone along with an item for potential purchase by a user of the Android smartphone.
  • an operation 304 may be directed at least partially to administering at least an aspect of the at least one interaction related to the user of the user device in the behavioral fingerprint habitat.
  • at least one device may administer 712 (e.g., manage, supervise, provide a response to, implement an application of, be in charge of, make use of, apply, handle, catalog, coordinate a continuation of, initiate a cessation or change regarding, or a combination thereof, etc.) at least an aspect (e.g., an output, an input, data produced monitoring, one or more variables, a factor, a parameter at least partially in control, or a combination thereof, etc.) of at least one interaction 708 related to a user 104 of a user device 102 in a behavioral fingerprint habitat 710.
  • a server may administer at least an aspect of the at least one interaction related to the user of the user device in the behavioral fingerprint habitat (e.g., an Amazon server may obtain a likelihood that a user of an Android smartphone is an authorized user thereof based at least partially on a location of the Android smartphone and an item for potential purchase by the user of the Android smartphone in conjunction with at least a portion of a behavioral fingerprint associated with the Android smartphone).
  • an Amazon server may obtain a likelihood that a user of an Android smartphone is an authorized user thereof based at least partially on a location of the Android smartphone and an item for potential purchase by the user of the Android smartphone in conjunction with at least a portion of a behavioral fingerprint associated with the Android smartphone.
  • FIGS. 8B-8D depict example additions or alternatives for a flow diagram of
  • FIG. 3A in accordance with certain example embodiments.
  • flow diagrams of FIGS. 8B-8D may include any of the illustrated or described operations. Although operations are shown or described in a particular order or with a particular relationship to one or more other operations, it should be understood that methods may be performed in alternative manners without departing from claimed subject matter, including, but not limited to, with a different order or number of operations or with a different relationship between or among operations (e.g., operations that are illustrated as nested blocks are not necessarily subsidiary operations and may instead be performed independently). Also, at least some operation(s) of flow diagrams of FIGS. 8B-8D may be performed so as to be fully or partially overlapping with other operation(s).
  • one or more operations of flow diagrams 800B-800D may be performed by at least one server device (e.g., a server device 112).
  • one or more operations of flow diagrams 800B-800D may be performed by at least one user device (e.g., a user device 102).
  • FIG. 8B illustrates a flow diagram 800B having example operations 810
  • an operation 810 may be directed at least partially to wherein the communicating for at least one interaction related to a user of a user device in a behavioral fingerprint habitat (of operation 802) includes sending one or more obtained characteristics corresponding to the at least one interaction for incorporation into at least one behavioral fingerprint that is associated with the user device.
  • At least one device may send (e.g., transmit, provide a link or reference or code to retrieve, forward, or a combination thereof, etc.) one or more obtained characteristics 722 (e.g., a description, an identification, a code, a label, an indicator 302-324, or a combination thereof, etc.) corresponding to (e.g., associated with, related to, descriptive of, indicative of, derived from, pertaining to, impacting, or a combination thereof, etc.) at least one interaction 708 for incorporation (e.g., for adding, integrating, supplementing with, updating using, augmenting with, replacing with, modifying using, adapting using, deleting at least a portion of, changing statistics using, creating at least one new predicted act based at least partially on, altering at least one existing predicted act based at least partially on, increasing or decreasing a likelihood based at least partially on, or a combination thereof, etc.) into at least one behavioral fingerprint 110 that is associated with a user device 102.
  • a server may send one or more obtained characteristics corresponding to the at least one interaction for incorporation into at least one behavioral fingerprint that is associated with the user device (e.g., an Expedia server may transmit to a McAfee server, which is maintaining a behavioral fingerprint that is associated with a Microsoft Surface tablet, a description of an airline flight that has been purchased for a European trip on which a user will take the Microsoft Surface tablet for inclusion of the description into the behavioral fingerprint).
  • an Expedia server may transmit to a McAfee server, which is maintaining a behavioral fingerprint that is associated with a Microsoft Surface tablet, a description of an airline flight that has been purchased for a European trip on which a user will take the Microsoft Surface tablet for inclusion of the description into the behavioral fingerprint.
  • an operation 812 may be directed at least partially to wherein the sending one or more obtained characteristics corresponding to the at least one interaction for incorporation into at least one behavioral fingerprint that is associated with the user device (of operation 810) includes obtaining the one or more obtained characteristics corresponding to the at least one interaction for incorporation into the at least one behavioral fingerprint from at least one retail monitoring application resident at the user device.
  • At least one device may obtain (e.g., ascertain, receive, retrieve, determine, or a combination thereof, etc.) one or more obtained characteristics 722 (e.g., a description, an identification, a code, a label, an indicator 302-324, or a combination thereof, etc.) corresponding to (e.g., associated with, related to, descriptive of, indicative of, derived from, pertaining to, impacting, or a combination thereof, etc.) at least one interaction 708 for incorporation (e.g., for adding, integrating, supplementing with, updating using, augmenting with, replacing with, modifying using, adapting using, deleting at least a portion of, changing statistics using, creating at least one new predicted act based at least partially on, altering at least one existing predicted act based at least partially on, increasing or decreasing a likelihood based at least partially on, or a combination thereof, etc.) into at least one behavioral fingerprint 110 from at least one retail monitoring application (e.g., a native program, a
  • a server may obtain the one or more obtained characteristics corresponding to the at least one interaction for incorporation into the at least one behavioral fingerprint from at least one retail monitoring application resident at the user device (e.g., a Starbucks server may receive from a Starbucks application on an HTC Windows Phone 8 a listing including at least a top three drink or food items ordered over a given 30 day period by an authorized user of the HTC Windows Phone 8).
  • a retail monitoring application resident at the user device
  • a Starbucks server may receive from a Starbucks application on an HTC Windows Phone 8 a listing including at least a top three drink or food items ordered over a given 30 day period by an authorized user of the HTC Windows Phone 8.
  • an operation 814 may be directed at least partially to wherein the sending one or more obtained characteristics corresponding to the at least one interaction for incorporation into at least one behavioral fingerprint that is associated with the user device (of operation 810) includes obtaining the one or more obtained characteristics corresponding to the at least one interaction for incorporation into the at least one behavioral fingerprint from at least one retail point of sale device that has interacted with the user device.
  • At least one device may obtain (e.g., ascertain, receive, retrieve, determine, or a combination thereof, etc.) one or more obtained characteristics 722 (e.g., a description, an identification, a code, a label, an indicator 302-324, or a combination thereof, etc.) corresponding to (e.g., associated with, related to, descriptive of, indicative of, derived from, pertaining to, impacting, or a combination thereof, etc.) at least one interaction 708 for incorporation (e.g., for adding, integrating, supplementing with, updating using, augmenting with, replacing with, modifying using, adapting using, deleting at least a portion of, changing statistics using, creating at least one new predicted act based at least partially on, altering at least one existing predicted act based at least partially on, increasing or decreasing a likelihood based at least partially on, or a combination thereof, etc.) into at least one behavioral fingerprint 110 from at least one retail point of sale (POS) device (e.g., a POS) device (
  • a server may obtain the one or more obtained characteristics corresponding to the at least one interaction for incorporation into the at least one behavioral fingerprint from at least one retail point of sale device that has interacted with the user device (e.g., a Walmart server may receive from a Walmart register at least a category indication, such as sporting goods for kids, of articles purchased using a cell phone in a Walmart store, with the category indication to be added to a behavioral fingerprint).
  • a retail point of sale device e.g., a Walmart server may receive from a Walmart register at least a category indication, such as sporting goods for kids, of articles purchased using a cell phone in a Walmart store, with the category indication to be added to a behavioral fingerprint.
  • FIG. SC illustrates a flow diagram 800C having example operations 818
  • an operation 818 may be directed at least partially to wherein the communicating for at least one interaction related to a user of a user device in a behavioral fingerprint habitat (of operation 802) includes receiving at least a portion of at least one behavioral fingerprint that is associated with the user device at a server device that provides retail monitoring functionality.
  • At least one device may receive (e.g., accept, acquire a communication including, get an update of, or a combination thereof, etc.) at least a portion of at least one behavioral fingerprint 110 that is associated with (e.g., that can impact authentication or authorization decisions for, that can be affected by interactions with, corresponding to, stored at, or a combination thereof, etc.) a user device 102 at a server device 112 that provides retail monitoring functionality (e.g., a server that stores retail monitoring data, a server that receives retail orders or purchases, a server that disseminates order requests, a server that communicates with a retail monitoring app of a user device, a server that facilitates rewarding customer loyalty, a server that facilitates payment for a good or service, or a combination thereof, etc.).
  • retail monitoring functionality e.g., a server that stores retail monitoring data, a server that receives retail orders or purchases, a server that disseminates order requests, a server that communicates with a retail monitoring app of a
  • a server device that provides retail monitoring functionality may receive at least a portion of at least one behavioral fingerprint that is associated with the user device (e.g., a Visa server may receive from a Google Wallet server one or more indications of items purchased, as well as retailers from which they were purchased, using a Samsung Galaxy Note smartphone).
  • a Visa server may receive from a Google Wallet server one or more indications of items purchased, as well as retailers from which they were purchased, using a Samsung Galaxy Note smartphone.
  • claimed subject matter is not limited to any particular described embodiments, implementations, examples, etc.
  • an operation 820 may be directed at least partially to wherein the receiving at least a portion of at least one behavioral fingerprint that is associated with the user device at a server device that provides retail monitoring functionality (of operation 818) includes forwarding the received at least a portion of the at least one behavioral fingerprint that is associated with the user device from the server device to the user device.
  • At least one device may forward (e.g., transmit, send after receiving, provide to an entity scheduled to get updates, or a combination thereof, etc.) a received at least a portion of at least one behavioral fingerprint 110 that is associated with (e.g., that can impact authentication or authorization decisions for, that can be affected by interactions with, corresponding to, stored at, or a combination thereof, etc.) a user device 102 from a server device 112 to a user device 102.
  • a behavioral fingerprint 110 e.g., that can impact authentication or authorization decisions for, that can be affected by interactions with, corresponding to, stored at, or a combination thereof, etc.
  • a server device may forward the received at least a portion of the at least one behavioral fingerprint that is associated with the user device from the server device to the user device (e.g., a Visa server may send indications of items purchased using a Nexus Android smartphone, with the indications being received from retailers from which the items were purchased, to the Nexus Android smartphone, which may have a Visa payments application resident thereon).
  • a Visa server may send indications of items purchased using a Nexus Android smartphone, with the indications being received from retailers from which the items were purchased, to the Nexus Android smartphone, which may have a Visa payments application resident thereon.
  • an operation 322 may be directed at least partially to wherein the communicating for at least one interaction related to a user of a user device in a behavioral fingerprint habitat (of operation 802) includes signaling an authentication likelihood corresponding to the user of the user device with respect to at least one authorized user of the user device.
  • at least one device may signal (e.g., provide, record, broadcast, transmit, announce, post, publicize, note, or a combination thereof, etc.) an authentication likelihood 724 (e.g., a probability, a result of a calculation such as a maximum likelihood estimation, a numerical value, a coefficient, a machine learning product, a probability distribution, a Bayesian-derived output, or a combination thereof, etc.
  • a current user is at least likely who the user purports to be, is at least likely an authorized user of a user device, is at least likely to be a person that is currently signed into a user device, or a combination thereof, etc.
  • a user 104 of a user device 102 with respect to at least one authorized user (e.g., a user 104 that is authorized to use a given user device 102 to at least some extent, a user 104 that is associated with a behavioral fingerprint 110 corresponding to a given user device 102, an owner of a given user device 102, or a combination thereof, etc.) of a user device 102.
  • a server may signal an authentication likelihood corresponding to the user of the user device with respect to at least one authorized user of the user device (e.g., a Google Wallet server may provide an indication, such as "very likely” or “moderately likely", that represents how likely a current user of a Samsung Galaxy phone is to be a known authorized user of the Samsung Galaxy phone).
  • a Google Wallet server may provide an indication, such as "very likely” or “moderately likely", that represents how likely a current user of a Samsung Galaxy phone is to be a known authorized user of the Samsung Galaxy phone.
  • an operation 824a or 824b may be directed at least partially to wherein the signaling an authentication likelihood corresponding to the user of the user device with respect to at least one authorized user of the user device (of operation 822 ⁇ includes computing the authentication likelihood corresponding to the user of the user device with respect to the at least one authorized user of the user device (for operation 824a) and transmitting, from a server device that provides retail monitoring functionality, the authentication likelihood corresponding to the user of the user device with respect to the at least one authorized user of the user device to a third party server device (for operation 824b).
  • At least one device may: compute (e.g., determine, calculate, perform at least one routine to ascertain, or a combination thereof, etc.) an authentication likelihood 724 (e.g., a probability, a result of a calculation such as a maximum likelihood estimation, a numerical value, a coefficient, a machine learning product, a probability distribution, a Bayesian-derived output, or a combination thereof, etc.
  • an authentication likelihood 724 e.g., a probability, a result of a calculation such as a maximum likelihood estimation, a numerical value, a coefficient, a machine learning product, a probability distribution, a Bayesian-derived output, or a combination thereof, etc.
  • a user 104 of a user device 102 with respect to at least one authorized user of a user device 102 e.g., a user 104 that is authorized to use a given user device 102 to at least some extent, a user 104 that is associated with a behavioral fingerprint 110 corresponding to a given user device 102, an owner of a given user device 102, or a combination thereof, etc.
  • transmit e.g., send, propagate over a network using electromagnetic signals, propel onto the internet, or a combination thereof, etc
  • a server may compute the authentication likelihood corresponding to the user of the user device with respect to the at least one authorized user of the user device (e.g., a Google server may calculate a probability indication, such as a probability distribution, that represents how likely a current user of a Samsung Galaxy phone is to be a known authorized user of the Samsung Galaxy phone); or transmit, from a server device that provides retail monitoring functionality, the authentication likelihood corresponding to the user of the user device with respect to the at least one authorized user of the user device to a third party server device (e.g., a Google Wallet server may transmit a probability distribution, which represents how likely a current user of a Samsung Galaxy phone is to be a known authorized user of the Samsung Galaxy phone, to a server operated by or for another company, such as a social network company like Linkedln or a security company like Symantec).
  • a server may compute the authentication likelihood corresponding to the user of the user device with respect to the at least one authorized user of the user device (e.g., a Google server may calculate a
  • FIG. 8D illustrates a flow diagram 800D having example operations 828 or
  • an operation 828 may be directed at least partially to wherein the communicating for at least one interaction related to a user of a user device in a behavioral fingerprint habitat (of operation 802 ⁇ includes sending one or more characteristics corresponding to the at least one interaction related to the user of the user device for incorporation into at least one behavioral fingerprint that is associated with the user device, the one or more characteristics obtained from at least one point of sale (POS) device.
  • POS point of sale
  • At least one device may send (e.g., transmit, provide a link or reference or code to retrieve, forward, or a combination thereof, etc.) one or more characteristics 722 (e.g., a description, an identification, a code, a label, an indicator 302-324, or a combination thereof, etc.) corresponding to (e.g., associated with, related to, descriptive of, indicative of, derived from, pertaining to, impacting, or a combination thereof, etc.) at least one interaction 708 related to a user 104 of a user device 102 for incorporation (e.g., for adding, integrating, supplementing with, updating using, augmenting with, replacing with, modifying using, adapting using, deleting at least a portion of, changing statistics using, creating at least one new predicted act based at least partially on, altering at least one existing predicted act based at least partially on, increasing or decreasing a likelihood based at least partially on, or a combination thereof, etc.) into at least one behavioral fingerprint 110 that
  • a server may send one or more characteristics corresponding to the at least one interaction related to the user of the user device for incorporation into at least one behavioral fingerprint that is associated with the user device, the one or more characteristics obtained from at least one point of sale (POS) device (e.g., an American Eagle server may transmit to a Google server a description, such as prices or indicia of items, of apparel purchased using a Windows Phone 8 smartphone for inclusion in a behavioral fingerprint maintained by Google for the Windows Phone 8 smartphone or an authorized user thereof, with the description received at the American Eagle server directly or indirectly from an electronic check-out device of an American Eagle store).
  • POS point of sale
  • an operation 330 may be directed at least partially to wherein the sending one or more characteristics corresponding to the at least one interaction related to the user of the user device for incorporation into at least one behavioral fingerprint that is associated with the user device, the one or more characteristics obtained from at least one point of sale (POS) device (of operation 828) includes obtaining the one or more characteristics corresponding to the at least one interaction from at least one point of sale (POS) register present within a physical store.
  • POS point of sale
  • At least one device may obtain (e.g., ascertain, receive, retrieve, determine, or a combination thereof, etc.) one or more characteristics 722 (e.g., a description, an identification, a code, a label, an indicator 302-324, or a combination thereof, etc.) corresponding to (e.g., associated with, related to, descriptive of, indicative of, derived from, pertaining to, impacting, or a combination thereof, etc.) at least one interaction 708 from at least one point of sale (POS) register (e.g., an associate-operated check-out machine, a customer-operated check-out machine, an automatic check-out machine (e.g., using RFID tags or similar), or a combination thereof, etc.) present within a physical store (e.g., located inside of, positioned at, or a combination thereof, etc.
  • POS point of sale
  • a server may obtain the one or more characteristics corresponding to the at least one interaction from at least one point of sale (POS) register present within a physical store (e.g., a Safeway server may acquire a collection of items that a user often purchases together at least partly from at least one transaction including an automated scanning of items and automatic payment with an iPhone at a Safeway store from a machine located thereat that at least partially enables the automated scanning or the automatic payment).
  • POS point of sale
  • a Safeway server may acquire a collection of items that a user often purchases together at least partly from at least one transaction including an automated scanning of items and automatic payment with an iPhone at a Safeway store from a machine located thereat that at least partially enables the automated scanning or the automatic payment.
  • FIGS. 9A-9E depict example additions or alternatives for a f!ow diagram of
  • FIG. 3A in accordance with certain example embodiments.
  • flow diagrams of FIGS. 9A-9E may include any of the illustrated or described operations. Although operations are shown or described in a particular order or with a particular relationship to one or more other operations, it should be understood that methods may be performed in alternative manners without departing from claimed subject matter, including, but not limited to, with a different order or number of operations or with a different relationship between or among operations (e.g., operations that are illustrated as nested blocks are not necessarily subsidiary operations and may instead be performed independently). Also, at least some operation(s) of flow diagrams of FIGS. 9A-9E may be performed so as to be fully or partially overlapping with other operation(s).
  • one or more operations of flow diagrams 900A-900E may be performed by at least one server device (e.g., a server device 112).
  • one or more operations of flow diagrams 900A-900E may be performed by at least one user device (e.g., a user device 102).
  • FIG. 9A illustrates a flow diagram 900A having example operations 910
  • an operation 910 may be directed at least partially to wherein the administering at least an aspect of the at least one interaction related to the user of the user device in the behavioral fingerprint habitat (of operation 804) includes causing the user device to ask the user a question having at least one answer that is ascertainable from at least one behavioral fingerprint that is associated with the user device.
  • At least one device may cause (e.g., order, start, initiate, compel, induce, instruct, command, or a combination thereof, etc.) a user device 102 to ask (e.g., present, display, play on a speaker, or a combination thereof, etc.) a user 104 a question (e.g., an inquiry, an interrogatory, a set of selectable options, words with a blank for short answer input, or a combination thereof, etc.) having at least one answer (e.g., a response to an inquiry, a solution to a problem, a selection, information fitting one or more parameters, or a combination thereof, etc.) that is ascertainable (e.g., determinable, retrievable, derivable, extractable, or a combination thereof, etc.) from at least one behavioral fingerprint 110 that is associated with (e.g., that can impact authentication or authorization decisions for, that can be affected by interactions with, corresponding to, stored at, or a combination thereof, etc.)
  • a server may cause the user device to ask the user a question having at least one answer that is ascertainable from at least one behavioral fingerprint that is associated with the user device (e.g., a PayPal server may send a command to a PayPal app on an Apple iPhone instructing the PayPal app to ask a current user a question that should be correctly answerable by an authorized user with an answer that is determinable from a behavioral fingerprint associated with the Apple iPhone, such as "please enter two of the last five apps used on this iPhone").
  • a PayPal server may send a command to a PayPal app on an Apple iPhone instructing the PayPal app to ask a current user a question that should be correctly answerable by an authorized user with an answer that is determinable from a behavioral fingerprint associated with the Apple iPhone, such as "please enter two of the last five apps used on this iPhone").
  • an operation 912 may be directed at least partially to wherein the causing the user device to ask the user a question having at least one answer that is ascertainable from at least one behavioral fingerprint that is associated with the user device (of operation 910) includes causing the user device to display at least a portion of at least one map and to indicate to the user that an identified location is to be selected.
  • At least one device may cause (e.g., order, start, initiate, compel, induce, instruct, command, or a combination thereof, etc.) a user device 102 to display (e.g., place on a screen, project, activate pixels, or a combination thereof, etc.) at least a portion of at least one map (e.g., a street view of an area, a drawing of roads, a satellite image, an indoor map, an outdoor map, or a combination thereof, etc.) and to indicate (e.g., describe, instruct, present words visually or aurally, or a combination thereof, etc.) to a user 102 that an identified location (e.g., a pin point, an encircled area, an address, an arrow, a block or zone of multiple identifiable blocks or zones, or a combination thereof, etc.) is to be selected (e.g., pressed on a screen, circled on a screen, have an indicator thereof vocalized, entered on a physical or virtual keyboard, point
  • a server may cause the user device to display at least a portion of at least one map and to indicate to the user that an identified location is to be selected (e.g., a Chase Bank server may instruct a behavioral fingerprint-oriented, automated authentication program on an LG Android phone to display four mapped locations and ask the user to select a location that represents a work address for an authorized user).
  • a Chase Bank server may instruct a behavioral fingerprint-oriented, automated authentication program on an LG Android phone to display four mapped locations and ask the user to select a location that represents a work address for an authorized user.
  • an operation 914 may be directed at least partially to wherein the causing the user device to ask the user a question having at least one answer that is ascertainable from at least one behavioral fingerprint that is associated with the user device (of operation 910) inciudes causing the user device to ask the user to name one or more people that have been contacted via the user device.
  • At least one device may cause (e.g., order, start, initiate, compel, induce, instruct, command, or a combination thereof, etc.) a user device 102 to ask (e.g., present, display, play on a speaker, or a combination thereof, etc.) a user 104 to name (e.g., identify, select from among options, enter an actual name, or a combination thereof, etc.) one or more people that have been contacted (e.g., called, texted, instant messaged, social network messaged or posted, video or text messaged through a proprietary interface such as Apple's i essage, or a combination thereof, etc.) via user device 102.
  • name e.g., identify, select from among options, enter an actual name, or a combination thereof, etc.
  • people that have been contacted e.g., called, texted, instant messaged, social network messaged or posted, video or text messaged through a proprietary interface such as Apple's i essage
  • a server may cause the user device to ask the user to name one or more people that have been contacted via the user device (e.g., a Walmart server may send a text message to a feature phone asking a current user to reply with names of two of the last five people that were contacted with a voice or text communication via the feature phone).
  • a server may cause the user device to ask the user to name one or more people that have been contacted via the user device (e.g., a Walmart server may send a text message to a feature phone asking a current user to reply with names of two of the last five people that were contacted with a voice or text communication via the feature phone).
  • an operation 916 may be directed at least partially to wherein the causing the user device to ask the user a question having at least one answer that is ascertainable from at least one behavioral fingerprint that is associated with the user device (of operation 910 ⁇ includes causing the user device to ask the user to identify a most recent purchase.
  • At least one device may cause (e.g., order, start, initiate, compel, induce, instruct, command, or a combination thereof, etc.) a user device 102 to ask (e.g., present, display, play on a speaker, or a combination thereof, etc.) a user 104 to identify (e.g., name, describe, enter characters for words, select an option, or a combination thereof, etc.) a most recent (e.g., a previous, an immediately preceding, within the last 24 hours or week, or a combination thereof, etc.) purchase (e.g., in-person purchase, an internet purchase, an order, a category of item purchased, an item purchased, a description of an item purchased, a name of an item purchased, or a combination thereof, etc.).
  • a most recent e.g., a previous, an immediately preceding, within the last 24 hours or week, or a combination thereof, etc.
  • purchase e.g., in-person purchase, an internet purchase, an order,
  • a server may cause the user device to ask the user to identify a most recent purchase (e.g., a Target server may send an instruction to an Apple iPhone to have the iPhone ask a current user thereof to select a category of one or more items most recently purchased with a user device associated with a behavioral fingerprint that is also associated with the iPhone, including but not limited to a purchase with the iPhone).
  • a Target server may send an instruction to an Apple iPhone to have the iPhone ask a current user thereof to select a category of one or more items most recently purchased with a user device associated with a behavioral fingerprint that is also associated with the iPhone, including but not limited to a purchase with the iPhone.
  • an operation 918 may be directed at least partially to wherein the causing the user device to ask the user a question having at least one answer that is ascertainable from at least one behavioral fingerprint that is associated with the user device (of operation 910) includes causing the user device to ask the user to select a location corresponding to a usage of the user device to make a purchase.
  • At least one device may cause (e.g., order, start, initiate, compel, induce, instruct, command, or a combination thereof, etc.) a user device 102 to ask (e.g., present, display, play on a speaker, or a combination thereof, etc.) a user 104 to select (e.g., press on a screen, circle on a screen, have an indicator thereof vocalized by a user, enter on a physical or virtual keyboard, point or shake a device, or a combination thereof, etc.) a location (e.g., a pin point on a displayed map, an encircled area of a map, an address, an arrow overlaying a map, a block or zone of multiple identifiable blocks or zones that include mapping portions, or a combination thereof, etc.) corresponding to a usage (e.g., presenting a user device as identity, providing purchasing credentials with a user device, employing a vendor-specific app, ordering over the web via a browser, referencing credit
  • a usage
  • a server may cause the user device to ask the user to select a location corresponding to a usage of the user device to make a purchase (e.g., a Dunkin Donuts server may instruct a Dunkin Donuts app on an HTC smartphone to ask a current user to indicate a most-recent Dunkin Donuts location at which the HTC smartphone was used to make a purchase).
  • a Dunkin Donuts server may instruct a Dunkin Donuts app on an HTC smartphone to ask a current user to indicate a most-recent Dunkin Donuts location at which the HTC smartphone was used to make a purchase.
  • an operation 920 may be directed at least partially to wherein the causing the user device to ask the user a question having at least one answer that is ascertainable from at least one behavioral fingerprint that is associated with the user device (of operation 910) includes causing the user device to ask the user to input a store that is frequented with the user device,
  • at least one device may cause (e.g., order, start, initiate, compel, induce, instruct, command, or a combination thereof, etc.) a user device 102 to ask (e.g., present, display, play on a speaker, or a combination thereof, etc.) a user 104 to input (e.g., speak into a microphone of, enter via virtual keyboard, enter via a physical keypad, or a combination thereof, etc.) a store (e.g., a company name, a particular store name plus location, a physical store, a virtual or web-based store, or a combination thereof, etc.) that is frequented with (e.g.
  • a server may cause the user device to ask the user to input a store that is frequented with the user device (e.g., a PayPal server may send a text to a Motorola Droid asking a current user to text back a name of a store or company with which the Motorola Droid was used to make a purchase from in the last two days).
  • a PayPal server may send a text to a Motorola Droid asking a current user to text back a name of a store or company with which the Motorola Droid was used to make a purchase from in the last two days.
  • FIG. 9B illustrates a flow diagram 900B having example operations 922
  • an operation 922 may be directed at least partially to wherein the administering at least an aspect of the at least one interaction related to the user of the user device in the behavioral fingerprint habitat (of operation 804) includes memorializing one or more factors affecting an analysis of the user of the user device with regard to authenticity.
  • At least one device may memorialize (e.g., store, note, forward, transmit, formulate for archiving, or a combination thereof, etc.) one or more factors (e.g., utilization indicators of a behavioral fingerprint, portions of a behavioral fingerprint, predicted acts of an authorized user, historical usage of a user device, applications trends of a user device, environmental parameters of an event to potentially occur, characteristics of a current transaction or environment in which a user device is involved, statistical values thereof, comparison results, or a combination thereof, etc.) affecting (e.g., impacting, changing, determining, or a combination thereof, etc.) an analysis (e.g., a study, a comparison, a probabilistic examination, an inspection of counterweighing variables, or a combination thereof, etc.) of a user 104 of a user device 102 with regard to authenticity (e.g., a degree to which a current user is adjudged to be or not to be authentic, a level of expected authenticity, whether a current user is adjudged
  • factors e
  • a server may memorialize one or more factors affecting an analysis of the user of the user device with regard to authenticity (e.g., an American express server may store in a retrievable format one or more indicia or inputs, which are relevant to an interaction with or a behavioral fingerprint associated with a Nokia Lumia Windows Phone 8, resulting in an affirmative determination that a current user is an authentic authorized user of the Nokia Lumia Windows Phone 8).
  • an American express server may store in a retrievable format one or more indicia or inputs, which are relevant to an interaction with or a behavioral fingerprint associated with a Nokia Lumia Windows Phone 8, resulting in an affirmative determination that a current user is an authentic authorized user of the Nokia Lumia Windows Phone 8).
  • claimed subject matter is not limited to any particular described embodiments, implementations, examples, etc.
  • an operation 924 may be directed at least partially to wherein the memorializing one or more factors affecting an analysis of the user of the user device with regard to authenticity (of operation 922) includes memorializing one or more utilization indicators of at least one behavioral fingerprint that is associated with the user device.
  • at least one device may memorialize (e.g., store, note, forward, transmit, formulate for archiving, or a combination thereof, etc.) one or more utilization indicators 720 (e.g., a label, a categorization, a code, a tag, an assignment, one or more words, a description, an association, an act, a prediction, or a combination thereof, etc.
  • At least one utilization e.g., accessing, using, interacting with, carrying, moving from place to place, providing input to, receiving output from, communicating with, running apps on, requesting or completing or effecting transactions via, directing operation of, or a combination thereof, etc.
  • at least one behavioral fingerprint 110 that is associated with (e.g., linked to, affecting the capabilities of, at least partially controlling, having indicator(s) that are capable of being modified responsive to use of, stored at, associated with an account corresponding to, associated with an authorized user of, or a combination thereof, etc.) a user device 102.
  • a server may memorialize one or more utilization indicators of at least one behavioral fingerprint that is associated with the user device (e.g., a Google Wallet server may transmit representations of user interface actions with a Google Nexus tablet for a behavioral fingerprint thereof that led to a determination that a current user is sufficiently authenticated to permit the current user to read an authorized user's email).
  • a Google Wallet server may transmit representations of user interface actions with a Google Nexus tablet for a behavioral fingerprint thereof that led to a determination that a current user is sufficiently authenticated to permit the current user to read an authorized user's email.
  • an operation 926 may be directed at least partially to wherein the memorializing one or more factors affecting an analysis of the user of the user device with regard to authenticity (of operation 922) includes memorializing at least one environmental parameter relating to an event to potentially occur in conjunction with the user device.
  • At least one device may memorialize (e.g., store, note, forward, transmit, formulate for archiving, or a combination thereof, etc) at least one environmental parameter 726 (e.g., a value, a parameter, an indication of surroundings, a description, a financial valuation, a security level, a location, proximate other user devices, or a combination thereof, etc.) relating to (e.g., associated with, corresponding to, descriptive of, indicative of, pertaining to, or a combination thereof, etc.) an event 728 (e.g., a happening, an action, an occurrence, an exchange, a purchase, an accessing, an unlocking, a meeting, a usage, a transfer, a communication, or a combination thereof, etc.) to potentially occur (e.g., to possibly happen, to conditionally transpire, to occur upon approval, to develop if permitted, to involve an analysis, to continue if not blocked, or a combination thereof, etc.) in conjunction with (e.
  • a server may memorialize at least one environmental parameter relating to an event to potentially occur in conjunction with the user device (e.g., a acy's server may package for archiving (i) an item that a user of an Apple iPhone attempted to purchase using the Apple iPhone, (ii) a location of a store of a failed purchase attempt, and (iii) a route the iPhone was transported to reach the store location if the user of the iPhone is not determined to be sufficiently authenticated to permit the item to be purchased with an automated authentication determination).
  • a acy's server may package for archiving (i) an item that a user of an Apple iPhone attempted to purchase using the Apple iPhone, (ii) a location of a store of a failed purchase attempt, and (iii) a route the iPhone was transported to reach the store location if the user of the iPhone is not determined to be sufficiently authenticated to permit the item to be purchased with an automated authentication determination).
  • an operation 928 may be directed at least partially to wherein the memorializing one or more factors affecting an analysis of the user of the user device with regard to authenticity (of operation 922) includes memorializing at least one result of one or more comparisons of (i) one or more utilization indicators of at least one behavioral fingerprint that is associated with the user device and (ii) at least one environmental parameter relating to an event to potentially occur in conjunction with the user device.
  • At least one device may memorialize (e.g., store, note, forward, transmit, formulate for archiving, or a combination thereof, etc.) at least one result (e.g., an output, a difference, a similarity, a representation of overlapping or mutually- exclusive aspects, a value, a code, a designation, or a combination thereof, etc.) of one or more comparisons (e.g., a determination of one or more similarities or differences, an ascertainment of coextensive aspects, a drawing of contrasts, an establishing of a correlation, a weighing or balancing, or a combination thereof, etc.) of (i) one or more utilization indicators 720 (e.g., a label, a categorization, a code, a tag, an assignment, one or more words, a description, an association, an act, a prediction, or a combination thereof, etc.
  • one or more utilization indicators 720 e.g., a label, a categorization, a
  • At least one utilization e.g., accessing, using, interacting with, carrying, moving from place to place, providing input to, receiving output from, communicating with, running apps on, requesting or completing or effecting transactions via, directing operation of, or a combination thereof, etc.
  • a user device of at least one behavioral fingerprint 110 that is associated with (e.g., linked to, affecting the capabilities of, at least partially controlling, having indicator(s) that are capable of being modified responsive to use of, stored at, associated with an account corresponding to, associated with an authorized user of, or a combination thereof, etc.) a user device 102 and (ii) at least one environmental parameter 726 (e.g., a value, a parameter, an indication of surroundings, a description, a financial valuation, a security level, a location, proximate other user devices, or a combination thereof, etc.) relating to (e.g., associated with, corresponding to, descriptive
  • a server may memorialize at least one result of one or more comparisons of (i) one or more utilization indicators of at least one behavioral fingerprint that is associated with the user device and (ii) at least one environmental parameter relating to an event to potentially occur in conjunction with the user device
  • an Amazon server may store actual values of or relative indications of similarities or differences between (i) a typical time, a usual location, and a common mode of accessing— such as desktop versus phone versus tablet or web browser versus social network app or particular web browser choice— an authorized user's Amazon account and (ii) a respective current time, current location, and current mode of a request to access the authorized user's Amazon account by a current user of an Apple i ac desktop computer).
  • claimed subject matter is not limited to any particular described embodiments, implementations, examples, etc.
  • FIG. 9C illustrates a flow diagram 900C having example operations 932
  • an operation 932 may be directed at least partially to wherein the administering at least an aspect of the at least one interaction related to the user of the user device in the behavioral fingerprint habitat (of operation 804) includes performing at least one analysis that includes (i) at least one characteristic derived from the at least one interaction related to the user of the user device and (ii) one or more characteristics of at least one previous purchase effectuated at least partially with the user device.
  • At least one device may perform (e.g., implement, carryout, execute, or a combination thereof, etc.) at least one analysis 732 (e.g., a study, a comparison, a probabilistic examination, an inspection of counterweighting variables, a contrasting, an evaluation, or a combination thereof, etc.) that includes (i) at least one characteristic 722 (e.g., a description, an identification, a code, a label, an indicator 302-324, or a combination thereof, etc.) derived from (e.g., associated with, related to, descriptive of, indicative of, corresponding to, pertaining to, impacting, or a combination thereof, etc.) at least one interaction 708 related to a user 104 of a user device 102 and (ii) one or more characteristics (e.g., a category of item purchased, an item purchased, a description of an item purchased, a name of an item purchased, a price of an item purchased, a discount on a price, a number
  • characteristics e
  • a server may perform at least one analysis that includes (i) at least one characteristic derived from the at least one interaction related to the user of the user device and (ii) one or more characteristics of at least one previous purchase effectuated at least partially with the user device (e.g., a Yahoo! shopping server may compare a brand and size of pants purchased previously using a Deli laptop to a requested current search for "pants" with the Dell laptop).
  • a Yahoo! shopping server may compare a brand and size of pants purchased previously using a Deli laptop to a requested current search for "pants" with the Dell laptop.
  • an operation 934 may be directed at least partially to wherein the performing at least one analysis that includes (i) at least one characteristic derived from the at least one interaction related to the user of the user device and (ii) one or more characteristics of at least one previous purchase effectuated at least partially with the user device (of operation 932) includes performing at least one comparison that includes at least one of a location or a time of day.
  • at least one device may perform (e.g., implement, carryout, execute, or a combination thereof, etc.) at least one comparison (e.g., a determination of one or more similarities .
  • a location e.g., a physical location such as an address or place name, a virtual location such as a U RL or application name, a store or company name, a city or neighborhood or shopping center, or a combination thereof, etc.
  • a time of day e
  • a server may perform at least one comparison that includes at least one of a location or a time of day (e.g., a Bank of America server may compare coordinates for a gas station and a time of day at which gas is usually acquired using a RIM Blackberry smartphone with a given gas station's coordinates and a current time of day corresponding to a current request to purchase gasoline using the RIM Blackberry smartphone).
  • a location or a time of day e.g., a Bank of America server may compare coordinates for a gas station and a time of day at which gas is usually acquired using a RIM Blackberry smartphone with a given gas station's coordinates and a current time of day corresponding to a current request to purchase gasoline using the RIM Blackberry smartphone.
  • an operation 936 may be directed at least partially to wherein the performing at least one analysis that includes (i) at least one characteristic derived from the at least one interaction related to the user of the user device and (ii) one or more characteristics of at least one previous purchase effectuated at least partially with the user device (of operation 932) includes performing at least one comparison that includes at least one of an item identifier or an item cost.
  • At least one device may perform (e.g., implement, carryout, execute, or a combination thereof, etc.) at least one comparison (e.g., a determination of one or more similarities, a determination of one or more differences, an ascertainment of coextensive aspects, a drawing of contrasts, an establishing of a correlation, a weighing or balancing between or among, or a combination thereof, etc.) that includes at least one of an item identifier (e.g., an item name, an item category, an item stock keeping unit (SKU), a proprietary designation such as a particular vendor's catalog number, a manufacturer's name plus model designation, or a combination thereof, etc.) or an item cost (e.g., a total price, an individual price, a price per unit, a standard price, a discounted price, or a combination thereof, etc.).
  • an item identifier e.g., an item name, an item category, an item stock keeping unit (SKU), a proprietary designation such as a
  • a server may perform at least one comparison that includes at least one of an item identifier or an item cost (e.g., a Kohl's server may determine similarities or differences between or among (a) item types and (b) full or sales price paid historically for items purchased with a Samsung Galaxy Note phablet to (a) item types and (b) full or sales price indicated for items in a current shopping cart of someone using the Samsung Galaxy Note phablet).
  • a Kohl's server may determine similarities or differences between or among (a) item types and (b) full or sales price paid historically for items purchased with a Samsung Galaxy Note phablet to (a) item types and (b) full or sales price indicated for items in a current shopping cart of someone using the Samsung Galaxy Note phablet).
  • a Kohl's server may determine similarities or differences between or among (a) item types and (b) full or sales price paid historically for items purchased with a Samsung Galaxy Note phablet to (a) item types and (b) full or sales price indicated for items in a current shopping cart of
  • FIG. 9D illustrates a flow diagram 900D having example operations 940
  • an operation 940 may be directed at least partiaiiy to wherein the administering at least an aspect of the at least one interaction related to the user of the user device in the behavioral fingerprint habitat (of operation 804) includes determining if the at least an aspect of the at least one interaction is to be incorporated into a behavioral fingerprint associated with the user device.
  • At least one device may determine (e.g., ascertain, conclude, make at least one decision, or a combination thereof, etc.) if at least an aspect (e.g., an output, an input, data produced monitoring, one or more variables, a factor, a parameter at least partially in control, or a combination thereof, etc.) of at least one interaction 708 is to be incorporated into (e.g., added to, integrated with, supplemented with, updated using, augmented with, replaced within, modified using, adapted using, delete at least a portion of, change statistics using, create at least one new predicted act based at least partially on, alter at least one existing predicted act based at least partially on, increase or decrease a likelihood based at least partiaiiy on, or a combination thereof, etc) a behavioral fingerprint 110 associated with a user device 102.
  • a behavioral fingerprint 110 associated with a user device 102.
  • a server may determine if the at least an aspect of the at least one interaction is to be incorporated into a behavioral fingerprint associated with the user device (e.g., a Google server may decide if a manner in which a current user accesses a set of system menus of an Android Nexus tablet is to be added to or recorded at a behavioral fingerprint associated with the Android Nexus tablet).
  • a Google server may decide if a manner in which a current user accesses a set of system menus of an Android Nexus tablet is to be added to or recorded at a behavioral fingerprint associated with the Android Nexus tablet.
  • an operation 942 may be directed at least partially to wherein the determining if the at least an aspect of the at least one interaction is to be incorporated into a behavioral fingerprint associated with the user device (of operation 940) includes determining if a time of day at which a user checks for one or more sale prices with the user device is to be incorporated into the behavioral fingerprint associated with the user device.
  • At least one device may determine (e.g., ascertain, conclude, make at least one decision, or a combination thereof, etc.) if a time of day (e.g., a time on a clock such as 7:25 pm, a portion of a day such as evening or morning, a daily event time such as rush hour or lunch, or a combination thereof, etc.) at which a user checks for one or more sale prices (e.g., by going to a web site, by launching an app, by consulting a sales- oriented email, or a combination thereof, etc.) with a user device 102 is to be incorporated into (e.g., added to, integrated with, supplemented with, updated using, augmented with, replaced within, modified using, adapted using, delete at least a portion of, change statistics using, create at least one new predicted act based at least partially on, alter at least one existing predicted act based at least partially on, increase or decrease a likelihood based at least partially on, or a combination thereof
  • a server may determine if a time of day at which a user checks for one or more sale prices with the user device is to be incorporated into the behavioral fingerprint associated with the user device (e.g., a server that is in communication with a security app running on an LG android-based smartphone, such as a Lookout security app, may determine if observations by the Lookout security app regarding daily reviews of internet discount code sites between 9 and 10 am should be included in a behavioral fingerprint associated with the LG android-based smartphone).
  • a security app running on an LG android-based smartphone, such as a Lookout security app
  • an operation 944 may be directed at least partially to wherein the determining if the at least an aspect of the at least one interaction is to be incorporated into a behavioral fingerprint associated with the user device (of operation 940) includes ascertaining an indication of a complexity of the at least one interaction.
  • At least one device may ascertain (e.g., determine, acquire, compute, or a combination thereof, etc.) an indication (e.g., a code, a label, a word description, a numerical value, or a combination thereof, etc.) of a complexity (e.g., a number of steps for, a probability of random occurrence, a rarity or relative uniqueness, or a combination thereof, etc.) of at least one interaction 708.
  • a server may ascertain an indication of a complexity of the at least one interaction (e.g., a Starbucks server may ascertain a value representing an unusualness level of a drink order paid for with a Starbucks app on an Apple iPhone).
  • claimed subject matter is not limited to any particular described embodiments, implementations, examples, etc.
  • an operation 946 may be directed at least partially to wherein the determining if the at least an aspect of the at least one interaction is to be incorporated into a behavioral fingerprint associated with the user device (of operation 940) includes ascertaining at least an approximation of a number of repetitions with respect to the at least one interaction.
  • At least one device may ascertain (e.g., determine, acquire, compute, or a combination thereof, etc.) at least an approximation (e.g., a range of values, a value with an absolute or percentage error modifier, a probabilistic value, or a combination thereof, etc.) of a number of repetitions (e.g., a number of observed occurrences, a number of previous occurrences, a number of occurrences including a current one, a number of occurrence of sufficient identicality or similarity to each other, or a combination thereof, etc.) with respect to at least one interaction 708.
  • an approximation e.g., a range of values, a value with an absolute or percentage error modifier, a probabilistic value, or a combination thereof, etc.
  • a number of repetitions e.g., a number of observed occurrences, a number of previous occurrences, a number of occurrences including a current one, a number of occurrence of sufficient identicality or similarity
  • a server may ascertain at least an approximation of a number of repetitions with respect to the at least one interaction (e.g., a Visa server may determine a number of times that a card member drives along a particular street with an intelligent automotive device each week over a month to determine if the propensity to travel along the particular street is to be added to a behavioral fingerprint associated with an authorized user of the intelligent automotive device).
  • a Visa server may determine a number of times that a card member drives along a particular street with an intelligent automotive device each week over a month to determine if the propensity to travel along the particular street is to be added to a behavioral fingerprint associated with an authorized user of the intelligent automotive device.
  • FIG. 9E illustrates a flow diagram 900E having example operations 950
  • an operation 950 may be directed at least partially to wherein the determining if the at least an aspect of the at least one interaction is to be incorporated into a behavioral fingerprint associated with the user device (of operation 940) includes ascertaining a proximity of an affirmative authentication by an authorized user with respect to the at least one interaction.
  • at least one device may ascertain (e.g., determine, acquire, compute, or a combination thereof, etc.) a proximity (e.g., nearness, closeness, distance, degree of remoteness, or a combination thereof, etc.
  • an affirmative authentication e.g., entering a password, passcode, pattern, or a combination thereof, etc.; providing a biometric input such as a facial image, a fingerprint, an iris scan, or a combination thereof, etc; answering one or more questions; some combination thereof; or so forth
  • an authorized user e.g., a user 104 that is authorized to use a given user device 102 to at least some extent, a user 104 that is associated with a behavioral fingerprint 110 corresponding to a given user device 102, an owner of a given user device 102, or a combination thereof, etc.
  • a server may ascertain a proximity of an affirmative authentication by an authorized user with respect to the at least one interaction (e.g., a Limited Brands server may acquire an indication of a closeness to a user inputting a password or fingerprint scan to a Samsung Galaxy Tab tablet computer in relation to when or where a user purchases a size 8 dress that is appropriate for professional attire with the Samsung Galaxy Tab tablet computer).
  • a Limited Brands server may acquire an indication of a closeness to a user inputting a password or fingerprint scan to a Samsung Galaxy Tab tablet computer in relation to when or where a user purchases a size 8 dress that is appropriate for professional attire with the Samsung Galaxy Tab tablet computer.
  • an operation 952 may be directed at least partially to wherein the ascertaining a proximity of an affirmative authentication by an authorized user with respect to the at least one interaction (of operation 950) includes ascertaining a temporal proximity of the affirmative authentication by the authorized user with respect to the at least one interaction.
  • at least one device may ascertain (e.g., determine, acquire, compute, or a combination thereof, etc.) a temporal proximity (e.g., nearness, closeness, distance, degree of remoteness, or a combination thereof, etc.
  • an affirmative authentication e.g., entering a password, passcode, pattern, or a combination thereof, etc.; providing a biometric input such as a facial image, a fingerprint, an iris scan, or a combination thereof, etc.; answering one or more questions; some combination thereof; or so forth
  • an authorized user e.g., a user 104 that is authorized to use a given user device 102 to at least some extent, a user 104 that is associated with a behavioral fingerprint 110 corresponding to a given user device 102, an owner of a given user device 102, or a combination thereof, etc.
  • a server may ascertain a temporal proximity of the affirmative authentication by the authorized user with respect to the at least one interaction (e.g., a Google server may obtain a time that has elapsed since a user authenticated with a facial image in relation to a time when a user has performed at least one swiping user interface interaction of an Android-based smartphone if determining if the swiping user interface action is to be added to a behavioral fingerprint associated with the Android-based smartphone).
  • a server may ascertain a temporal proximity of the affirmative authentication by the authorized user with respect to the at least one interaction (e.g., a Google server may obtain a time that has elapsed since a user authenticated with a facial image in relation to a time when a user has performed at least one swiping user interface interaction of an Android-based smartphone if determining if the swiping user interface action is to be added to a behavioral fingerprint associated with the Android-based smartphone).
  • claimed subject matter is not limited to any
  • an operation 954 may be directed at least partially to wherein the ascertaining a proximity of an affirmative authentication by an authorized user with respect to the at least one interaction (of operation 950) includes ascertaining a spatial proximity of the affirmative authentication by the authorized user with respect to the at least one interaction.
  • at least one device may ascertain (e.g., determine, acquire, compute, or a combination thereof, etc.) a spatial proximity (e.g., nearness, closeness, distance, degree of remoteness, or a combination thereof, etc.
  • an affirmative authentication e.g., entering a password, passcode, pattern, or a combination thereof, etc.; providing a biometric input such as a facial image, a fingerprint, an iris scan, or a combination thereof, etc.; answering one or more questions; some combination thereof; or so forth
  • an authorized user e.g., a user 104 that is authorized to use a given user device 102 to at least some extent, a user 104 that is associated with a behavioral fingerprint 110 corresponding to a given user device 102, an owner of a given user device 102, or a combination thereof, etc.
  • a server may ascertain a spatial proximity of the affirmative authentication by the authorized user with respect to the at least one interaction (e.g., an Apple server thai is affiliated with Apple Passbook services may compute a physical distance between two geographical coordinates of an Apple iPhone, a first set of geographical coordinates corresponding to where an authorized user's spoken pass phrase is recognized via the Apple iPhone and a second set of geographical coordinates corresponding to where a current user is interacting with the Apple iPhone in an attempt to purchase one or more songs, wherein a computed physical distance being less than at least one maximum physical distance threshold militates toward incorporating the song purchasing interaction into a behavioral fingerprint associated with the Apple iPhone).
  • an Apple server thai is affiliated with Apple Passbook services may compute a physical distance between two geographical coordinates of an Apple iPhone, a first set of geographical coordinates corresponding to where an authorized user's spoken pass phrase is recognized via the Apple iPhone and a second set of geographical coordinates corresponding to where a current user is interacting with the Apple iPhone in an attempt to purchase one or more songs,
  • FIGS. 1GA-10B depict example additions or alternatives for a flow diagram of FIG. 8A in accordance with certain example embodiments.
  • flow diagrams of FIGS. 10A-10B may include any of the illustrated or described operations.
  • operations are shown or described in a particular order or with a particular relationship to one or more other operations, it should be understood that methods may be performed in alternative manners without departing from claimed subject matter, including, but not limited to, with a different order or number of operations or with a different relationship between or among operations (e.g., operations that are illustrated as nested blocks are not necessarily subsidiary operations and may instead be performed independently).
  • FIGS. 10A-10B may be performed so as to be fully or partially overlapping with other operation(s).
  • one or more operations of flow diagrams 1000A-1000B may be performed by at least one server device (e.g., a server device 112).
  • one or more operations of flow diagrams 1000A-1000B may be performed by at least one user device (e.g., a user device 102).
  • FIGS. 10A-10B each illustrate a flow diagram 10GQA-1000B, respectively, having an example operation 806.
  • an operation 806 may be directed at least partially to wherein a method further includes implementing one or more additional operations.
  • At least one device may implement one or more operations in addition to communicating (of operation 802) or administering (of operation 804).
  • Example additional operations may include, by way of example but not limitation, 1010, 1012, 1014, 1018, 1020, or 1022 (of FIGS. 10A-10B).
  • FIG. 10A illustrates a flow diagram 1000A having example operations 1010
  • an operation 1010 may be directed at least partially to wherein a method of communicating (of operation 802) or administering (of operation 804) further includes (at additional operation 806) exposing at least one application programming interface that enables a third party to participate in the behavioral fingerprint habitat via at least one retail monitoring server.
  • At least one device may expose (e.g., make available to those external to a company, publicize, create, instantiate on an internet-available server, provide as a web service, produce via cloud computing, or a combination thereof, etc.) at least one application programming interface (API) 730 (e.g., a web service, a cloud computing platform, a programming environment, code or functionality or modules to enable software components to communicate with each other, or a combination thereof, etc.) that enables a third party (e.g., an entity that does not provide the API, a company that did not create the API, a company that does not maintain the API infrastructure, an entity that is not providing retail monitoring functionality, or a combination thereof, etc.) to participate (e.g., utilize, rely on authentication determinations based at least partially on, rely on authorization decisions based at least partially on, receive or retrieve information from, submit or contribute data for, make an authentication determination for or at least partially based on, or a combination thereof, etc.
  • API application programming interface
  • a behavioral fingerprint 110 in a behavioral fingerprint habitat 710 via at least one retail monitoring server (e.g., a server device 112 that is part of some retail monitoring 719 infrastructure, a server that provides retail monitoring functionality, a server that facilitates communication between or among a store and one or more customers, a server that provides product listings or accepts orders from a client-side retail monitoring application, or a combination thereof, etc.).
  • a retail monitoring server e.g., a server device 112 that is part of some retail monitoring 719 infrastructure, a server that provides retail monitoring functionality, a server that facilitates communication between or among a store and one or more customers, a server that provides product listings or accepts orders from a client-side retail monitoring application, or a combination thereof, etc.
  • a server may expose at least one application programming interface that enables a third party to participate in the behavioral fingerprint habitat via at least one retail monitoring server (e.g., a Visa server may present a web interface that provides access (1) to at least a portion of a behavioral fingerprint of a card services member to a security service such as Trend Micro that wishes to make authentication determinations using a behavioral fingerprint or (2) to data produced by a profiling app on a user device that an authorized user has given permission to help tune a behavioral fingerprint by contributing indications of actions involving participation of the authorized user that are detected by the profiling app).
  • a retail monitoring server e.g., a Visa server may present a web interface that provides access (1) to at least a portion of a behavioral fingerprint of a card services member to a security service such as Trend Micro that wishes to make authentication determinations using a behavioral fingerprint or (2) to data produced by a profiling app on a user device that an authorized user has given permission to help tune a behavioral fingerprint by contributing indications of actions involving participation of the authorized user that are detected by
  • an operation 1012 may be directed at least partially to wherein the exposing at least one application programming interface that enables a third party to participate in the behavioral fingerprint habitat via at least one retail monitoring server (of operation 1010) includes exposing at least one application programming interface that enables a third party to provide one or more characteristics for at least one utilization indicator of at least one behavioral fingerprint that is associated with the user device via the at least one retail monitoring server.
  • At least one device may expose (e.g., make available to those external to a company, publicize, create, instantiate on an internet-available server, provide as a web service, produce via cloud computing, or a combination thereof, etc.) at least one application programming interface (API) 730 (e.g., a web
  • API application programming interface
  • a cloud computing platform a programming environment, code or functionality or modules to enable software components to communicate with each other, or a combination thereof, etc.
  • a third party e.g., an entity that does not provide the API, a company that did not create the API, a company that does not maintain the API infrastructure, an entity that is not providing retail monitoring functionality, or a combination thereof, etc.
  • a third party e.g., an entity that does not provide the API, a company that did not create the API, a company that does not maintain the API infrastructure, an entity that is not providing retail monitoring functionality, or a combination thereof, etc.
  • to provide e.g., submit, send in, report, upload, or a combination thereof, etc.
  • one or more characteristics 722 e.g., a description, an identification, a code, a label, an actual or preliminary indicator 302-324, or a combination thereof, etc., which may correspond to (e.g., be associated with, be related to, be descriptive of, be indicative of,
  • At least one utilization e.g., accessing, using, interacting with, carrying, moving from place to place, providing input to, receiving output from, communicating with, running apps on, requesting or completing or effecting transactions via, directing operation of, or a combination thereof, etc.
  • at least one behavioral fingerprint 110 that is associated with (e.g., linked to, affecting the capabilities of, at least partially controlling, having indicator(s) that are capable of being modified responsive to use of, stored at, associated with an account corresponding to, associated with an authorized user of, or a combination thereof, etc.) a user device 102 via at least one retail monitoring server (e.g., a server device 112 that is part of some retail monitoring 719 infrastructure, a server that provides retail monitoring functionality, a server that facilitates communication between or among a store and one or more customers, a server that provides product listings or accepts orders from a client-side retail monitoring application, or a combination
  • retail monitoring server e.g., a server device 112 that is part of some retail monitoring
  • a server may expose at least one application programming interface (API) that enables a third party to provide one or more characteristics for at least one utilization indicator of at least one behavioral fingerprint that is associated with the user device via the at least one retail monitoring server (e.g., a Google Wallet server may publicly present a set of programming instructions or constructs or input capabilities so that a retail company or a social network company is empowered to submit for incorporation into a behavioral fingerprint of an authorized user of a Google Nexus smartphone a description of a transaction between the authorized user and the retail company or of a social network communication related to the authorized user and propagated via the social network company).
  • API application programming interface
  • an operation 1014 may be directed at least partially to wherein the exposing at least one application programming interface that enables a third party to participate in the behavioral fingerprint habitat via at least one retail monitoring server (of operation 1010) includes exposing at least one application programming interface that enables a third party to retrieve at least one utilization indicator of at least one behavioral fingerprint that is associated with the user device via the at least one retail monitoring server.
  • At least one device may expose (e.g., make available to those external to a company, publicize, create, instantiate on an internet-available server, provide as a web service, produce via cloud computing, or a combination thereof, etc.) at least one application programming interface (API) 730 (e.g., a web service, a cloud computing platform, a programming environment, code or functionality or modules to enable software components to communicate with each other, or a combination thereof, etc.) that enables a third party (e.g., an entity that does not provide the API, a company that did not create the API, a company that does not maintain the API infrastructure, an entity that is not providing retail monitoring functionality, or a combination thereof,
  • API application programming interface
  • At least one utilization indicator 720 e.g., a label, a categorization, a code, a tag, an assignment, one or more words, a description, an association, an act, a prediction, or a combination thereof, etc. that represents, embodies, describes, suggests, or a combination thereof, etc.
  • At least one utilization e.g., an accessing, a using, an interacting with, a carrying, a moving from place to place, a providing input to, a receiving output from, a communicating with, a running of apps on, a requesting or completing or effecting transactions via, a directing operation of, or a combination thereof, etc.
  • a user device 102 via at least one retail monitoring server (e.g., a server device 112 that is part of some retail monitoring 719 infrastructure, a server that provides retail monitoring functionality, a server that facilitates communication between or among a store and one or more customers, a server that provides product listings or accepts orders from a client-side retail monitoring application, or
  • a retail monitoring server e.g., a server device 112 that is part of some retail monitoring 719 infrastructure, a server that provides retail monitoring functionality, a server that facilitates communication between or among a store and one or more customers, a server that provides product listings or accepts orders from a client-side retail monitoring application,
  • a server may expose at least one application programming interface (API) that enables a third party to retrieve at least one utilization indicator of at least one behavioral fingerprint that is associated with the user device via the at least one retail monitoring server (e.g., a Starbucks server may provide a web service that an operating system of a tablet computer may utilize to acquire one or more geographical locations that an authorized user of the tablet computer visits from time to time).
  • API application programming interface
  • FIG. 10B illustrates a flow diagram 1000B having example operations 1018
  • an operation 1018 may be directed at least partially to wherein a method of communicating (of operation 802) or administering (of operation 804) further includes (at additional operation 806) linking (i) a retail loyalty program account that is associated with an authorized user of the user device or with the user device and (ii) a behavioral fingerprint that is associated with the authorized user of the user device or with the user device.
  • At least one device may link (e.g., have one inform the other, share data, cause one to affect the other or vice versa, enable cross-pollination of observations, or a combination thereof, etc.)
  • a retail loyalty program e.g., a program that rewards patronage, a plan that provides discounts or coupons in exchange for contact information, an arrangement in which a customer receives a free item after a certain number of purchases, a plan in which a customer is entitled to a discount after a certain amount of business with a company, or a combination thereof, etc.
  • account 734 that is associated with an authorized user (e.g., a user 104 that is authorized to use a given user device 102 to at least some extent, a user 104 that is associated with a behavioral fingerprint 110 corresponding to a given user device 102, an owner of a given user device 102, or a combination thereof, etc.) of a user device 102 or with user device 102 and
  • a behavioral fingerprint e.g.,
  • a server may link (i) a retail loyalty program account that is associated with an authorized user of the user device or with the user device and (ii) a behavioral fingerprint that is associated with the authorized user of the user device or with the user device (e.g., a Visa server may acquire information for a temporary Visa usage rewards program that increases a cash back from 1.0 to 1.5% for three months for certain categories of purchases for a given card member from a behavioral fingerprint that is associated with the given card member via an Apple iPhone).
  • a retail loyalty program account that is associated with an authorized user of the user device or with the user device
  • a behavioral fingerprint that is associated with the authorized user of the user device or with the user device
  • a Visa server may acquire information for a temporary Visa usage rewards program that increases a cash back from 1.0 to 1.5% for three months for certain categories of purchases for a given card member from a behavioral fingerprint that is associated with the given card member via an Apple iPhone.
  • an operation 1020 may be directed at least partially to wherein the linking (i) a retail loyalty program account that is associated with an authorized user of the user device or with the user device and (ii) a behavioral fingerprint that is associated with the authorized user of the user device or with the user device (of operation 1018) includes incorporating one or more program assets of the retail loyalty program account into the behavioral fingerprint,
  • at least one device may incorporate (e.g., via adding, integrating, supplementing with, updating using, augmenting with, replacing with, modifying using, adapting using, deleting at least a portion of, changing statistics using, creating at least one new predicted act based at least partially on, altering at least one existing predicted act based at least partially on, increasing or decreasing a likelihood based at least partially on, or a combination thereof, etc.) one or more program assets (e.g., points, identifications of items— such as goods or services—purchased, credits, a listing of dates of patronage, accumulation of free item(s) or
  • program assets e.g., points, identification
  • a server may incorporate one or more program assets of the retail loyalty program account into the behavioral fingerprint (e.g., a Starbucks server may add dates and items purchased as indicated in file for a registered card loyalty program account that is associated with a Starbucks app on a particular Apple iPhone to
  • an operation 1022 may be directed at least partially to wherein the linking (i) a retail loyalty program account that is associated with an authorized user of the user device or with the user device and (ii) a behavioral fingerprint that is associated with the authorized user of the user device or with the user device (of operation 1018) includes augmenting the retail loyalty program account with at least a portion of at least one utilization indicator of the behavioral fingerprint.
  • At least one device may augment (by adding, integrating, supplementing with, updating using, incorporating into, replacing with, modifying using, adapting using, deleting at least a portion of, or a combination thereof, etc.) a retail loyalty program (e.g., a program that rewards patronage, a plan that provides discounts or coupons in exchange for contact information, an arrangement in which a customer receives a free item after a certain number of purchases, a plan in which a customer is entitled to a discount after a certain amount of business with a company, or a combination thereof, etc.) account 734 with at least a portion of at least one utilization indicator 720 of a behavioral fingerprint 110.
  • a retail loyalty program e.g., a program that rewards patronage, a plan that provides discounts or coupons in exchange for contact information, an arrangement in which a customer receives a free item after a certain number of purchases, a plan in which a customer is entitled to a discount after a certain amount of business with a company, or a combination thereof,
  • a server may augment the retail loyalty program account with at least a portion of at least one utilization indicator of the behavioral fingerprint (e.g., to encourage people to join a retail loyalty program, a server of a retail store may be programmed to initialize or may be capable of initializing program assets for a new retail loyalty program account that is to be associated with an authorized user of a Samsung Galaxy smartphone with previous patronages to the retail store by the authorized user, such as patronages in which transactions were consummated using the Samsung Galaxy smartphone and incorporated into a behavioral fingerprint thereof).
  • a server of a retail store may be programmed to initialize or may be capable of initializing program assets for a new retail loyalty program account that is to be associated with an authorized user of a Samsung Galaxy smartphone with previous patronages to the retail store by the authorized user, such as patronages in which transactions were consummated using the Samsung Galaxy smartphone and incorporated into a behavioral fingerprint thereof).
  • an implementer may opt for a mainly hardware and/or firmware vehicle; alternatively, if flexibility is paramount, the implementer may opt for a mainly software implementation; or, yet again alternatively, the implementer may opt for some combination of hardware, software, and/or firmware.
  • any vehicle to be utilized is a choice dependent upon the context in which the vehicle will be deployed and the specific concerns (e.g., speed, flexibility, or predictability) of the implementer, any of which may vary.
  • Those skilled in the art will recognize that optical aspects of implementations will typically employ optically-oriented hardware, software, and or firmware.
  • logic and similar implementations may include software or other control structures.
  • Electronic circuitry may have one or more paths of electrical current constructed and arranged to implement various functions as described herein, in some implementations, one or more media may be configured to bear a device-detectable implementation when such media hold or transmit device detectable instructions operable to perform as described herein.
  • implementations may include an update or modification of existing software or firmware, or of gate arrays or programmable hardware, such as by performing a reception of or a transmission of one or more instructions in relation to one or more operations described herein.
  • an implementation may include special-purpose hardware, software, firmware components, and/or general-purpose components executing or otherwise invoking special-purpose components. Specifications or other implementations may be transmitted by one or more instances of tangible transmission media as described herein, optionally by packet transmission or otherwise by passing through distributed media at various times.
  • implementations may include executing a special-purpose instruction sequence or invoking circuitry for enabling, triggering, coordinating, requesting, or otherwise causing one or more occurrences of virtually any functional operations described herein.
  • operational or other logical descriptions herein may be expressed as source code and compiled or otherwise invoked as an executable instruction sequence, in some contexts, for example, implementations may be provided, in whole or in part, by source code, such as C++, or other code sequences, in other implementations, source or other code implementation, using commercially available and/or techniques in the art, may be compiled/ /imp!emented/trans!ated/converted into a high-level descriptor language (e.g., initially implementing described technologies in C or C++ programming language and thereafter converting the programming language implementation into a iogic-syntbesizabie language implementation, a hardware description language implementation, a hardware design simulation implementation, and/or other such similar mode(s) of expression).
  • source code such as C++
  • a logical expression e.g., computer programming language implementation
  • a Verilog-type hardware description e.g., via Hardware Description Language (HDL) and/or Very High Speed Integrated Circuit Hardware Descriptor Language (VH DL)
  • VH DL Very High Speed Integrated Circuit Hardware Descriptor Language
  • Those skilled in the art will recognize how to obtain, configure, and optimize suitable transmission or computational elements, material supplies, actuators, or other structures in light of these teachings.
  • Examples of a signal bearing medium include, but are not limited to, the following: a recordable type medium such as a floppy disk, a hard disk drive, a Compact Disc (CD), a Digital Video Disk (DVD), a digital tape, a computer memory, etc.; and a transmission type medium such as a digital and/or an analog communication medium (e.g., a fiber optic cable, a waveguide, a wired communications link, a wireless communication link (e.g., transmitter, receiver, transmission logic, reception logic, etc.), etc.).
  • a recordable type medium such as a floppy disk, a hard disk drive, a Compact Disc (CD), a Digital Video Disk (DVD), a digital tape, a computer memory, etc.
  • a transmission type medium such as a digital and/or an analog communication medium (e.g., a fiber optic cable, a waveguide, a wired communications link, a wireless communication link (e.g., transmitter, receiver, transmission logic, reception
  • electrical circuitry includes, but is not limited to, electrical circuitry having at least one discrete electrical circuit, electrical circuitry having at least one integrated circuit, electrical circuitry having at least one application specific integrated circuit, electrical circuitry forming a general purpose computing device configured by a computer program (e.g., a general purpose computer configured by a computer program which at least partially carries out processes and/or devices described herein, or a microprocessor configured by a computer program which at least partially carries out processes and/or devices described herein), electrical circuitry forming a memory device (e.g., forms of memory (e.g., random access, flash, read only, etc.)), and/or electrical circuitry forming a communications device (e.
  • a memory device e.g., forms of memory (e.g., random access, flash, read only, etc.)
  • communications device e.
  • Modules, logic, circuitry, hardware and software combinations, firmware, or so forth may be realized or implemented as one or more general-purpose processors, one or more processing cores, one or more special-purpose processors, one or more microprocessors, at least one Application-Specific Integrated Circuit (ASIC), at least one Field Programmable Gate Array (FPGA), at least one digital signal processor (DSP), some combination thereof, or so forth that is executing or is configured to execute instructions, a special-purpose program, an application, software, code, some combination thereof, or so forth as at least one special-purpose computing apparatus or specific computing component.
  • ASIC Application-Specific Integrated Circuit
  • FPGA Field Programmable Gate Array
  • DSP digital signal processor
  • a first module may be embodied by a given processor executing a first set of instructions at or during a first time
  • a second module may be embodied by the same given processor executing a second set of instructions at or during a second time.
  • the first and second times may be at least partially interleaved or overlapping, such as in a multi-threading, pipelined, or predictive processing environment.
  • a first module may be embodied by a first processor executing a first set of instructions
  • a second module may be embodied by a second processor executing a second set of instructions
  • a particular module may be embodied partially by a first processor executing at least a portion of a particular set of instructions and embodied partially by a second processor executing at least a portion of the particular set of instructions.
  • Other combinations of instructions, a program, an application, software, or code, etc. in conjunction with at least one processor or other execution machinery may be utilized to realize one or more modules, logic, or circuitry, etc. to implement any of the processing algorithms described herein.
  • a data processing system generally includes one or more of a system unit housing, a video display device, memory such as volatile or non-volatile memory, processors such as microprocessors or digital signal processors, computational entities such as operating systems, drivers, graphical user interfaces, and applications programs, one or more interaction devices (e.g., a touch pad, a touch screen, an antenna, etc.), and/or control systems including feedback loops and control motors (e.g., feedback for sensing position and/or velocity; control motors for moving and/or adjusting components and/or quantities).
  • a data processing system may be implemented utilizing suitable commercially available components, such as those typically found in data computing/communication and/or network computing/communication systems.
  • cloud computing may be understood as described in the cloud computing literature.
  • cloud computing may be methods and/or systems for the delivery of computational capacity and/or storage capacity as a service.
  • the "cloud” may refer to one or more hardware and/or software components that deliver or assist in the delivery of computational and/or storage capacity, including, but not limited to, one or more of a client, an application, a platform, an infrastructure, and/or a server
  • the cloud may refer to any of the hardware and/or software associated with a client, an application, a platform, an infrastructure, and/or a server.
  • cloud and cloud computing may refer to one or more of a computer, a processor, a storage medium, a router, a switch, a modem, a virtual machine (e.g., a virtual server), a data center, an operating system, a middleware, a firmware, a hardware back-end, a software back-end, and/or a software application.
  • a cloud may refer to a private cloud, a public cloud, a hybrid cloud, and/or a community cloud.
  • a cloud may be a shared pool of configurable computing resources, which may be public, private, semi-private, distributable, scaieable, flexible, temporary, virtual, and/or physical.
  • a cloud or cloud service may be delivered over one or more types of network, e.g., a mobile communication network, and the Internet.
  • a cloud or a cloud service may include one or more of infrastructure-as-a-service (“laaS”), platform-as-a-service (“PaaS”), software-as- a-service (“SaaS”), and/or desktop-as-a-service (“DaaS”).
  • laaS may include, e.g., one or more virtual server instantiations that may start, stop, access, and/or configure virtual servers and/or storage centers (e.g., providing one or more processors, storage space, and/or network resources on-demand, e.g., EMC and Backspace).
  • PaaS may include, e.g., one or more software and/or development tools hosted on an infrastructure (e.g., a computing platform and/or a solution stack from which the client can create software interfaces and applications, e.g., Microsoft Azure).
  • SaaS may include, e.g., software hosted by a service provider and accessible over a network (e.g., the software for the application and/or the data associated with that software application may be kept on the network, e.g., Google Apps, SalesForce).
  • DaaS may include, e.g., providing desktop, applications, data, and/or services for the user over a network (e.g., providing a multi-application framework, the applications in the framework, the data associated with the applications, and/or services related to the applications and/or the data over the network, e.g., Citrix).
  • a network e.g., providing a multi-application framework, the applications in the framework, the data associated with the applications, and/or services related to the applications and/or the data over the network, e.g., Citrix.
  • the foregoing is intended to be exemplary of the types of systems and/or methods referred to in this application as "cloud” or “cloud computing” and should not be considered complete or exhaustive.
  • examples of such other devices and/or processes and/or systems might include - as appropriate to context and application ail or part of devices and/or processes and/or systems of (a) an air conveyance (e.g., an airplane, rocket, helicopter, etc.) , (b) a ground conveyance (e.g., a car, truck, locomotive, tank, armored personnel carrier, etc.), (c) a building (e.g., a home, warehouse, office, etc.), (d) an appliance (e.g., a refrigerator, a washing machine, a dryer, etc.), (e) a communications system (e.g., a networked system, a telephone system, a Voice over IP system, etc.), (f) a business entity (e.g., an Internet Service Provider (ISP) entity such as Comcast Cable, Qwest, Southwestern Bell, etc.), or (g) a wired/wireless services entity (e.g., Sprint, Cingular
  • use of a system or method may occur in a territory even if components are located outside the territory.
  • use of a distributed computing system may occur in a territory even though parts of the system may be located outside of the territory (e.g., relay, server, processor, signal-bearing medium, transmitting computer, receiving computer, etc. located outside the territory).
  • a sale of a system or method may likewise occur in a territory even if components of the system or method are located and/or used outside the territory.
  • implementation of at least part of a system for performing a method in one territory does not preclude use of the system in another territory.
  • any two components so associated can also be viewed as being “operably connected”, or “operably coupled,” to each other to achieve the desired functionality, and any two components capable of being so associated can also be viewed as being “operably couplable,” to each other to achieve the desired functionality.
  • operably couplable include but are not limited to physically mateabie and/or physically interacting components, and/or wirelessly interactable, and/or wirelessly interacting components, and/or logically interacting, and/or logically interactable components.
  • one or more components may be referred to herein as
  • trademarks e.g., a word, letter, symbol, or device adopted by one manufacturer or merchant and used to identify and distinguish his or her product from those of others.
  • Trademark names used herein are set forth in such language that makes clear their identity, that distinguishes them from common descriptive nouns, that have fixed and definite meanings, and, in many if not all cases, are accompanied by other specific identification using terms not covered by trademark.
  • trademark names used herein have meanings that are well-known and defined in the literature, and do not refer to products or compounds protected by trade secrets in order to divine their meaning.

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Abstract

L'invention concerne des modes de réalisation illustratifs pour une prise d'empreinte comportementale présentant une surveillance de vente au détail. Pour certains modes de réalisation illustratifs, un ou plusieurs dispositifs peuvent : (i) communiquer pour au moins une interaction associée à un utilisateur d'un dispositif d'utilisateur dans un habitat d'empreinte comportementale, ou (ii) administrer au moins un aspect d'au moins une interaction associée à un utilisateur d'un dispositif d'utilisateur dans un habitat d'empreinte comportementale. Cependant, l'objet revendiqué n'est pas limité aux modes de réalisation, mises en œuvre, exemples, etc., particuliers décrits.
EP13809279.6A 2012-06-29 2013-06-28 Prise d'empreinte comportementale comprenant surveillance de vente au détail Ceased EP2867843A4 (fr)

Applications Claiming Priority (13)

Application Number Priority Date Filing Date Title
US13/538,385 US8869241B2 (en) 2011-09-24 2012-06-29 Network acquired behavioral fingerprint for authentication
US13/552,502 US20130133054A1 (en) 2011-09-24 2012-07-18 Relationship Based Trust Verification Schema
US13/563,599 US9083687B2 (en) 2011-09-24 2012-07-31 Multi-device behavioral fingerprinting
US13/602,061 US9825967B2 (en) 2011-09-24 2012-08-31 Behavioral fingerprinting via social networking interaction
US13/631,667 US9015860B2 (en) 2011-09-24 2012-09-28 Behavioral fingerprinting via derived personal relation
US13/665,841 US20140123249A1 (en) 2012-10-31 2012-10-31 Behavioral Fingerprinting Via Corroborative User Device
US13/665,830 US9298900B2 (en) 2011-09-24 2012-10-31 Behavioral fingerprinting via inferred personal relation
US13/673,506 US20130151617A1 (en) 2011-10-13 2012-11-09 Behavioral fingerprinting via social network verification
US13/678,380 US9729549B2 (en) 2011-09-24 2012-11-15 Behavioral fingerprinting with adaptive development
US13/686,739 US20130159217A1 (en) 2011-09-24 2012-11-27 Environmentally-responsive behavioral fingerprinting
US13/691,466 US9621404B2 (en) 2011-09-24 2012-11-30 Behavioral fingerprinting with social networking
US13/711,518 US20130197968A1 (en) 2011-09-24 2012-12-11 Behavioral fingerprinting with retail monitoring
PCT/US2013/048664 WO2014005067A1 (fr) 2012-06-29 2013-06-28 Prise d'empreinte comportementale comprenant surveillance de vente au détail

Publications (2)

Publication Number Publication Date
EP2867843A1 true EP2867843A1 (fr) 2015-05-06
EP2867843A4 EP2867843A4 (fr) 2016-01-13

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EP13809279.6A Ceased EP2867843A4 (fr) 2012-06-29 2013-06-28 Prise d'empreinte comportementale comprenant surveillance de vente au détail

Country Status (2)

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EP (1) EP2867843A4 (fr)
WO (1) WO2014005067A1 (fr)

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US9582663B2 (en) 2012-10-31 2017-02-28 Intel Corporation Detection of return oriented programming attacks
US9626508B2 (en) 2014-10-20 2017-04-18 Intel Corporation Providing supervisor control of control transfer execution profiling
US9703567B2 (en) 2012-11-30 2017-07-11 Intel Corporation Control transfer termination instructions of an instruction set architecture (ISA)
US9767272B2 (en) 2014-10-20 2017-09-19 Intel Corporation Attack Protection for valid gadget control transfers
US9785800B2 (en) 2015-12-23 2017-10-10 Intel Corporation Non-tracked control transfers within control transfer enforcement
US10049212B2 (en) 2012-09-28 2018-08-14 Intel Corporation Protection against return oriented programming attacks
US10437990B2 (en) 2016-09-30 2019-10-08 Mcafee, Llc Detection of return oriented programming attacks in a processor
US11099847B2 (en) 2015-12-23 2021-08-24 Intel Corporation Mode-specific endbranch for control flow termination

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US7398225B2 (en) * 2001-03-29 2008-07-08 American Express Travel Related Services Company, Inc. System and method for networked loyalty program
US8260725B2 (en) * 2005-11-14 2012-09-04 Crawford C S Lee Method of conducting operations for a social network application including notification list generation with offer hyperlinks according to notification rules
EP2458548A1 (fr) * 2010-11-30 2012-05-30 France Telecom Système et procédé pour la mise en ýuvre de règles dynamiques de contrôle d'accès à des informations personnelles dématérialisées
US8555077B2 (en) * 2011-11-23 2013-10-08 Elwha Llc Determining device identity using a behavioral fingerprint

Cited By (14)

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US10049212B2 (en) 2012-09-28 2018-08-14 Intel Corporation Protection against return oriented programming attacks
US9582663B2 (en) 2012-10-31 2017-02-28 Intel Corporation Detection of return oriented programming attacks
US9946875B2 (en) 2012-10-31 2018-04-17 Intel Corporation Detection of return oriented programming attacks
US10262162B2 (en) 2012-11-30 2019-04-16 Intel Corporation Control transfer termination instructions of an instruction set architecture (ISA)
US11789735B2 (en) 2012-11-30 2023-10-17 Intel Corporation Control transfer termination instructions of an instruction set architecture (ISA)
US9703567B2 (en) 2012-11-30 2017-07-11 Intel Corporation Control transfer termination instructions of an instruction set architecture (ISA)
US11023232B2 (en) 2012-11-30 2021-06-01 Intel Corporation Control transfer termination instructions of an instruction set architecture (ISA)
US9767272B2 (en) 2014-10-20 2017-09-19 Intel Corporation Attack Protection for valid gadget control transfers
US10445494B2 (en) 2014-10-20 2019-10-15 Intel Corporation Attack protection for valid gadget control transfers
US9626508B2 (en) 2014-10-20 2017-04-18 Intel Corporation Providing supervisor control of control transfer execution profiling
US9785800B2 (en) 2015-12-23 2017-10-10 Intel Corporation Non-tracked control transfers within control transfer enforcement
US11099847B2 (en) 2015-12-23 2021-08-24 Intel Corporation Mode-specific endbranch for control flow termination
US11650818B2 (en) 2015-12-23 2023-05-16 Intel Corporation Mode-specific endbranch for control flow termination
US10437990B2 (en) 2016-09-30 2019-10-08 Mcafee, Llc Detection of return oriented programming attacks in a processor

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WO2014005067A1 (fr) 2014-01-03

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