WO2016180267A1 - 交互数据的处理方法及装置 - Google Patents

交互数据的处理方法及装置 Download PDF

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Publication number
WO2016180267A1
WO2016180267A1 PCT/CN2016/081089 CN2016081089W WO2016180267A1 WO 2016180267 A1 WO2016180267 A1 WO 2016180267A1 CN 2016081089 W CN2016081089 W CN 2016081089W WO 2016180267 A1 WO2016180267 A1 WO 2016180267A1
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WIPO (PCT)
Prior art keywords
user
data
interaction data
behavior
interaction
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Ceased
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PCT/CN2016/081089
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English (en)
French (fr)
Chinese (zh)
Inventor
付杨
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Alibaba Group Holding Ltd
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Alibaba Group Holding Ltd
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Application filed by Alibaba Group Holding Ltd filed Critical Alibaba Group Holding Ltd
Priority to SG11201709271SA priority Critical patent/SG11201709271SA/en
Priority to JP2017559441A priority patent/JP6745818B2/ja
Priority to EP16792117.0A priority patent/EP3296943A4/en
Priority to KR1020177035795A priority patent/KR102127039B1/ko
Publication of WO2016180267A1 publication Critical patent/WO2016180267A1/zh
Priority to US15/809,799 priority patent/US10956847B2/en
Anticipated expiration legal-status Critical
Ceased legal-status Critical Current

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    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
    • G06F21/50—Monitoring users, programs or devices to maintain the integrity of platforms, e.g. of processors, firmware or operating systems
    • G06F21/57—Certifying or maintaining trusted computer platforms, e.g. secure boots or power-downs, version controls, system software checks, secure updates or assessing vulnerabilities
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063—Operations research, analysis or management
    • G06Q10/0635—Risk analysis of enterprise or organisation activities
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
    • G06F21/30—Authentication, i.e. establishing the identity or authorisation of security principals
    • G06F21/31—User authentication
    • G06F21/316—User authentication by observing the pattern of computer usage, e.g. typical user behaviour
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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
    • G06Q20/00—Payment architectures, schemes or protocols
    • G06Q20/38—Payment protocols; Details thereof
    • G06Q20/40—Authorisation, e.g. identification of payer or payee, verification of customer or shop credentials; Review and approval of payers, e.g. check credit lines or negative lists
    • G06Q20/401—Transaction verification
    • G06Q20/4016—Transaction verification involving fraud or risk level assessment in transaction processing
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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
    • G06Q20/00—Payment architectures, schemes or protocols
    • G06Q20/38—Payment protocols; Details thereof
    • G06Q20/40—Authorisation, e.g. identification of payer or payee, verification of customer or shop credentials; Review and approval of payers, e.g. check credit lines or negative lists

Definitions

  • the present application relates to the field of computers, and in particular, to a method and an apparatus for processing interactive data.
  • the existing method is to collect device information of the user terminal device, and/or environmental information of the user (for example) , the geographical location, the IP address, and the like) to determine the security of the currently initiated interaction data, for example, to determine whether it is the interaction data initiated by the user himself.
  • the purpose of the application is to provide a method and device for processing interactive data, which can improve the security of interactive data and reduce the user's interference rate.
  • an embodiment of the present application provides a method for processing interaction data, including:
  • the method further includes establishing a risk model, which specifically includes:
  • the security threshold range corresponding to the dimension and constructing a risk model corresponding to the user, wherein the length of the first time interval is greater than the second time interval.
  • the substituting the value of the user behavior of the at least one preset dimension corresponding to the service interaction data into the risk model specifically includes:
  • the value of the user behavior of the at least one preset dimension corresponding to the service interaction data is substituted into the risk model.
  • the preset dimension and the user are related to an instant information interaction behavior between a third party involved in the business interaction data.
  • the preset user behavior includes:
  • the communication time of the user's interaction with the third party's instant information involved in the business interaction data, the data size of the user's interaction with the third party's instant information involved in the business interaction data, and the instant information of the third party involved in the user and business interaction data The interval between the end of the interaction and the initiation of business interaction data.
  • determining whether the user behavior data of the preset dimension is located within a security threshold of the risk model specifically includes:
  • the communication time of the user's interaction with the third party involved in the business interaction data, the data size of the user's interaction with the third party involved in the business interaction data, and the instant information of the third party involved in the user interaction data Whether the interval from the end of the interaction to the initiation of the service interaction data falls within the corresponding security threshold.
  • an embodiment of the present application provides an apparatus for processing interactive data, the apparatus comprising:
  • An interaction module configured to receive user-initiated business interaction data
  • a processing module configured to substitute user behavior data of at least one preset dimension corresponding to the service interaction data into a risk model corresponding to the user, wherein the preset dimension is related to an interaction behavior between the user and a third party involved in the business interaction data;
  • the device further includes a model construction module, configured to:
  • the security threshold range corresponding to the dimension and constructing a risk model corresponding to the user, wherein the length of the first time interval is greater than the second time interval.
  • the device further includes an adaptation module, configured to:
  • the preset user behavior includes:
  • the communication time of the user's interaction with the third party's instant information involved in the business interaction data, the data size of the user's interaction with the third party's instant information involved in the business interaction data, and the instant information of the third party involved in the user and business interaction data The interval between the end of the interaction and the initiation of business interaction data.
  • the processing module is specifically configured to:
  • the communication time of the user's interaction with the third party involved in the business interaction data, the data size of the user's interaction with the third party involved in the business interaction data, and the instant information of the third party involved in the user interaction data Whether the interval from the end of the interaction to the initiation of the service interaction data falls within the corresponding security threshold.
  • the technical effect of the present application lies in: the history before the user initiates the business interaction data. Behavior, construct a risk model of business interaction data, to judge the security of current business interaction data through the risk model, reduce the interference rate to the user, and improve the network communication efficiency.
  • FIG. 1 is a flowchart of a method for processing interaction data in an embodiment of the present application
  • FIG. 2 is a flow chart of establishing a risk model in an embodiment of the present application.
  • the method for processing the interaction data includes:
  • S101 Receive service interaction data initiated by a user.
  • the technical solution of the present application is described in detail by taking the service interaction data of the network transaction service as an example.
  • the service interaction data may not be limited to the service interaction data of the network transaction service, and the technical solution of the application may be applied to other services by using a technical means, and details are not described herein again.
  • the user-initiated real-time transaction may generate the business transaction data, and after generating the business transaction data, the transaction system/server may receive the business transaction data.
  • the business transaction data needs to be evaluated to determine whether it is safe.
  • determining whether the business transaction data is secure is performed by a user-specific risk model (for example, confirming a corresponding risk model by a user ID), and user behavior data of a preset dimension corresponding to the business transaction data. of.
  • the preset dimension and the interaction behavior between the user and the third party involved in the business interaction data are related.
  • the risk model may be The risk model updated by the user history behavior of the preset dimension corresponding to the historical business interaction data of the pre-network transaction service initiation time of 24 hours.
  • the step of substituting the value of the user behavior of the at least one preset dimension corresponding to the service interaction data into the risk model specifically includes:
  • the value of the user behavior of the at least one preset dimension corresponding to the service interaction data is substituted into the risk model.
  • the business interaction data does not have a user behavior of a corresponding preset dimension.
  • the user when the user A conducts the network transaction service, the user does not interact with the third party involved in the business interaction data. It can be understood that in such a case, it is impossible to judge the security of the current business interaction data by substituting the user behavior data of the preset dimension into the risk model.
  • the security of the service interaction data can be judged by comparing the traditional technical solutions, for example, by collecting device information of the user terminal device, and/or environment information of the user (for example, geographic location, IP address, etc.) ) to determine the security of the currently initiated interaction data.
  • the user behavior data of the preset dimension is brought into the risk model to determine the security of the current business interaction data.
  • the number of network transaction services of user A is small, or the user interaction data of user A's network transaction service has less user behavior corresponding to the preset dimension, which is not enough to form corresponding user A.
  • the risk model that is, the risk model of the corresponding user A is not established in the transaction system/server. It can be understood that in this case, it is impossible to judge the security of the business interaction data by substituting the user behavior data of the preset dimension into the risk model. Sex.
  • the security of the service interaction data can be judged by comparing the traditional technical solutions, for example, by collecting device information of the user terminal device, and/or environment information of the user (for example, geographic location, IP address, etc.) ) to determine the security of the currently initiated interaction data.
  • the preset dimension and the user are related to the instant information interaction behavior between the third parties involved in the business interaction data.
  • the user behavior data of the preset dimension includes: a communication time of the user interacting with the instant information of the third party involved in the business interaction data, a data size of the instant information interaction between the user and the third party involved in the business interaction data, and the user and the user The interval between the end of the instant information interaction of the third party involved in the business interaction data and the time of initiating the business interaction data.
  • the user After analyzing the big data, the user has the habit of communicating with the seller (third party) on the details of the product, whether there is a desired style, and whether or not the transaction details are available in the online transaction.
  • Time for different users and sellers to communicate The length, the size of the recorded data communicated with the seller, and the interval between the completion of the communication with the seller and the initiation of the payment have their own unique behavioral habits, and the use of these behavioral habits of the user can identify whether the current user is the user, whether the current business interaction data is Security will provide a good protection for the buyer's payment security when shopping.
  • determining whether the user behavior data of the preset dimension is located within a security threshold of the risk model specifically includes: determining, by the user, the interaction of the instant information of the third party involved in the service interaction data.
  • the time, the data size of the user's interaction with the third party's instant information involved in the business interaction data, the time interval between the user's interaction with the third party's instant information involved in the business interaction data, and the interval between the initiation of the service interaction data are all in the corresponding security.
  • the threshold range that is, all the above three dimensions fall within the corresponding security threshold range, indicating that the service interaction data is secure.
  • the method further includes establishing a risk model, which specifically includes:
  • S205 Calculate the difference between the first average value or the first variance and the second average value or the second variance, or the difference between the first average value and the second average value, using a decision tree Presetting the security threshold range corresponding to the dimension and constructing a risk model corresponding to the user, wherein the first time interval length is greater than the second time interval.
  • the user ID is used as the main key to obtain the chat records of the user before the transaction and the seller on all the designated platforms in one year, including: the length of time the user and the seller communicate, the record data size communicated with the seller, and the communication with the seller to initiate the payment. Interval.
  • the users who have met certain conditions in the past such as the number of network transaction services is greater than or equal to the preset number.
  • the length of time for selecting the user and the seller to communicate with the seller the size of the record data exchanged with the seller, and the interval between the completion of the communication by the seller and the initiation of the payment are respectively aggregated.
  • the average or variance of the length of time for each selected user and seller to communicate, the average or variance of the size of the record data communicated by the seller, and the average or square of the interval between the seller's communication and the initiation of the payment can be obtained. difference. It is possible to go to the historical behavior data that the user communicates with the seller when initiating business interaction data (before transaction payment).
  • the risk model can be constructed based on the historical behavior data and the sample behavior data, and the decision tree is constructed; of course, the absolute value of the deviation between the sample behavior data and the corresponding data in the historical behavior data can be calculated first, and then according to the absolute value.
  • the decision tree is used to construct a risk model, which can define a security threshold corresponding to each preset dimension (the length of time the user and the seller communicate, the size of the record data communicated with the seller, and the interval between the seller's communication completion and the initiation of the payment). range.
  • the apparatus for processing interactive data includes:
  • the interaction module 100 is configured to receive user-initiated service interaction data.
  • the processing module 200 is configured to substitute the user behavior data of the at least one preset dimension corresponding to the service interaction data into the risk model 400 corresponding to the user;
  • the technical solution of the present application is described in detail by taking the service interaction data of the network transaction service as an example.
  • the service interaction data may not be limited to the service interaction data of the network transaction service, and the technical solution of the application may be applied to other services by using a technical means, and details are not described herein again.
  • the user-initiated real-time transaction may generate the business transaction data, and after generating the business transaction data, the transaction system/server may receive the business transaction data.
  • the business transaction data needs to be evaluated to determine whether it is safe.
  • determining whether the business transaction data is secure is a risk model 400 corresponding to the user (for example, confirming the corresponding risk model 400 by the user ID), and a user behavior of a preset dimension corresponding to the business transaction data.
  • the data is carried out.
  • the preset dimension and the interaction behavior between the user and the third party involved in the business interaction data are related.
  • the risk model 400 may be a user of a preset dimension corresponding to the historical service interaction data of the current network transaction service initiation time of 24 hours. A risk model updated by historical behavior.
  • the device further includes an adaptation module 500, configured to determine whether there is user behavior data of a preset dimension corresponding to the service interaction data;
  • the value of the user behavior of the at least one preset dimension corresponding to the service interaction data is substituted into the risk model 400 by the processing module 200.
  • the business interaction data does not have a user behavior of a corresponding preset dimension.
  • the user when the user A conducts the network transaction service, the user does not interact with the third party involved in the business interaction data. It can be understood that, in such a case, it is impossible to judge the security of the current business interaction data by substituting the user behavior data of the preset dimension into the risk model 400.
  • the security of the service interaction data can be judged by comparing the traditional technical solutions, for example, by collecting device information of the user terminal device, and/or environment information of the user (for example, geographic location, IP address, etc.) ) to determine the security of the currently initiated interaction data.
  • the user behavior data of the preset dimension is brought into the risk model 400 to determine the security of the current business interaction data.
  • the number of network transaction services of user A is small, or the user interaction data of user A's network transaction service has less user behavior corresponding to the preset dimension, which is not enough to form corresponding user A.
  • the risk model that is, the risk model of the corresponding user A is not established in the transaction system/server. It can be understood that in this case, it is impossible to judge the security of the business interaction data by substituting the user behavior data of the preset dimension into the risk model. Sex.
  • the security of the service interaction data can be judged by comparing the traditional technical solutions, for example, by collecting device information of the user terminal device, and/or environment information of the user (for example, geographic location, IP address, etc.) ) to determine the security of the currently initiated interaction data.
  • the preset dimension and the user are related to the instant information interaction behavior between the third parties involved in the business interaction data.
  • the user After analyzing the big data, the user has the habit of communicating with the seller (third party) on the details of the product, whether there is a desired style, and whether or not the transaction details are available in the online transaction.
  • the length of time that different users and sellers communicate with each other, the size of the recorded data communicated with the seller, and the interval between the completion of the communication with the seller and the time the payment is initiated have their own unique behavioral habits, and the use of these behavioral habits of the user can identify whether the current user is User himself, when Whether the pre-business interaction data is secure will play a very good role in protecting the security of the buyer when shopping.
  • the processing module 200 is specifically configured to: determine a communication time of a user interacting with an instant information of a third party involved in the service interaction data, and an instant information of a third party involved in the user and the service interaction data. Whether the interaction of the data size, the user's interaction with the third party's instant information involved in the business interaction data, and the interval between the initiation of the service interaction data fall within the corresponding security threshold range, that is, the above three dimensions all fall into the corresponding The security threshold is within the scope of the security data.
  • the apparatus further includes a model construction module 300, configured to:
  • the security threshold range corresponding to the dimension and the risk model 400 corresponding to the user is constructed, wherein the first time interval length is greater than the second time interval.
  • the user ID is used as the main key to obtain the chat records of the user before the transaction and the seller on all the designated platforms in one year, including: the length of time the user and the seller communicate, the record data size communicated with the seller, and the communication with the seller to initiate the payment. Interval.
  • the users who have met certain conditions in the past such as the number of network transaction services is greater than or equal to the preset number.
  • the length of time for selecting the user and the seller to communicate with the seller the size of the record data exchanged with the seller, and the interval between the completion of the communication by the seller and the initiation of the payment are respectively aggregated.
  • the average or variance of the length of time that each selected user and seller communicates, the average or variance of the size of the recorded data communicated by the seller, and the average or variance of the interval between the seller's communication and the initiation of the payment can be obtained. It is possible to go to the historical behavior data that the user communicates with the seller when initiating business interaction data (before transaction payment).
  • the risk model 400 can be constructed according to the historical behavior data and the sample behavior data, and the decision tree is constructed; of course, the absolute value of the deviation between the sample behavior data and the corresponding data in the historical behavior data can be calculated first, and then according to the absolute Value, using the decision tree to construct a risk model 400, which can define each preset dimension (the length of time the user and the seller communicate, the size of the record data communicated with the seller, and the interval between the seller's communication completion and the initiation of the payment) The range of security thresholds.
  • the present application constructs a risk model of business interaction data through the historical behavior of the user before initiating the business interaction data, so as to judge the security of the current business interaction data through the risk model, and reduce the interruption rate to the user and improve Network communication efficiency.
  • the disclosed apparatus, apparatus, and method may be implemented in other manners.
  • the device implementations described above are merely illustrative.
  • the division of the modules is only a logical function division.
  • there may be another division manner for example, multiple modules or components may be combined or It can be integrated into another device, or some features can be ignored or not executed.
  • the mutual coupling or direct coupling or communication connection shown or discussed may be an indirect coupling or communication connection through some interface, device or module, and may be electrical, mechanical or otherwise.
  • the modules described as separate components may or may not be physically separated.
  • the components displayed as modules may or may not be physical modules, that is, may be located in one place, or may be distributed to multiple network modules. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment.
  • each functional module in each embodiment of the present application may be integrated into one processing module, or each module may exist physically separately, or two or more modules may be integrated into one module.
  • the above integrated modules can be implemented in the form of hardware or in the form of hardware plus software function modules.
  • the above-described integrated modules implemented in the form of software function modules can be stored in a computer readable storage medium.
  • the software function module described above is stored in a storage medium and includes a plurality of instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) or a processor to execute the method of various embodiments of the present application. Part of the steps.
  • the foregoing storage medium includes: a U disk, a mobile hard disk, and a read only A medium that can store program codes, such as a Read-Only Memory (ROM), a Random Access Memory (RAM), a disk, or an optical disk.

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PCT/CN2016/081089 2015-05-13 2016-05-05 交互数据的处理方法及装置 Ceased WO2016180267A1 (zh)

Priority Applications (5)

Application Number Priority Date Filing Date Title
SG11201709271SA SG11201709271SA (en) 2015-05-13 2016-05-05 Interaction data processing method and apparatus
JP2017559441A JP6745818B2 (ja) 2015-05-13 2016-05-05 対話データ処理方法及び装置
EP16792117.0A EP3296943A4 (en) 2015-05-13 2016-05-05 Method of processing exchanged data and device utilizing same
KR1020177035795A KR102127039B1 (ko) 2015-05-13 2016-05-05 상호작용 데이터 프로세싱 방법, 및 이를 이용하는 장치
US15/809,799 US10956847B2 (en) 2015-05-13 2017-11-10 Risk identification based on historical behavioral data

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
CN201510244028.4A CN106296406A (zh) 2015-05-13 2015-05-13 交互数据的处理方法及装置
CN201510244028.4 2015-05-13

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US15/809,799 Continuation US10956847B2 (en) 2015-05-13 2017-11-10 Risk identification based on historical behavioral data

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EP (1) EP3296943A4 (enExample)
JP (1) JP6745818B2 (enExample)
KR (1) KR102127039B1 (enExample)
CN (1) CN106296406A (enExample)
SG (2) SG11201709271SA (enExample)
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