WO2003009575A1 - Procede et systeme de prevention d'une fraude dans un systeme de telecommunications - Google Patents

Procede et systeme de prevention d'une fraude dans un systeme de telecommunications Download PDF

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Publication number
WO2003009575A1
WO2003009575A1 PCT/US2002/022984 US0222984W WO03009575A1 WO 2003009575 A1 WO2003009575 A1 WO 2003009575A1 US 0222984 W US0222984 W US 0222984W WO 03009575 A1 WO03009575 A1 WO 03009575A1
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WO
WIPO (PCT)
Prior art keywords
billing
database
billing number
computer
product
Prior art date
Application number
PCT/US2002/022984
Other languages
English (en)
Inventor
Dean C. Marchand
Arthur Lance Springer
Original Assignee
Worldcom, Inc.
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
Application filed by Worldcom, Inc. filed Critical Worldcom, Inc.
Priority to EP02759162A priority Critical patent/EP1417827A1/fr
Priority to MXPA04000570A priority patent/MXPA04000570A/es
Publication of WO2003009575A1 publication Critical patent/WO2003009575A1/fr

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Classifications

    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04M—TELEPHONIC COMMUNICATION
    • H04M15/00—Arrangements for metering, time-control or time indication ; Metering, charging or billing arrangements for voice wireline or wireless communications, e.g. VoIP
    • H04M15/47—Fraud detection or prevention means
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04M—TELEPHONIC COMMUNICATION
    • H04M15/00—Arrangements for metering, time-control or time indication ; Metering, charging or billing arrangements for voice wireline or wireless communications, e.g. VoIP
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04M—TELEPHONIC COMMUNICATION
    • H04M17/00—Prepayment of wireline communication systems, wireless communication systems or telephone systems
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04M—TELEPHONIC COMMUNICATION
    • H04M2215/00—Metering arrangements; Time controlling arrangements; Time indicating arrangements
    • H04M2215/01—Details of billing arrangements
    • H04M2215/0148—Fraud detection or prevention means

Definitions

  • the invention relates to preventing fraudulent access to a telecommunications system.
  • the invention lelates to a database that is used to compile fraud-related information throughout the system, which is then accessed to prevent fraudulent access to the system.
  • Fraud costs the telecommunications industry billions of dollars per year. There are many techniques used to perpetrate fraud.
  • the fraud can be as simple as using a stolen credit card to charge a long distance call, or it can involve sophisticated looping techniques, such as repeatedly calling a private PBX system, finding the corf ect sequence to access an outside line (by trial and error or other hacking techniques) and then placing a costly long distance call through the PBX system.
  • the telecommunications industry is involved in an intensive and ongoing effort to identify different types of fraud and then to develop and implement ways of preventing such fraud.
  • Fraud is more costly to certain telecommunications companies than others. For example, where a fraudulent call is directed at a company that owns the underlying telecommunications infrastructure, the cost of the call is less than the cost to an independent company that incurs access charges to the owner(s) of the infrastructure supporting the call, even if the call is fraudulent. In either case, however, the cost to the industry ' is significant.
  • Fraud control may be divided conceptually into identifying a call that is likely to be fraudulent and responding after a call is identified as likely to be fraudulent,
  • the billing detail record includes a header designating it is a "b'ad billing number", the call is immediately identified fraudulent and an alert is generated in the system.
  • the '354 patent is directed at calls that require "special service", that is, which are placed tlirough an operator or an automatic operation support system. Such calls generally require the caller to manually supply the billing number, such as by pressing numbers on a payphone, swiping the magnetic strip on a card or speaking with an operator. It may also require the caller to identify the category of billing product (such as credit card, calling card, pre-paid phone card) for the billing number.
  • the category of the billing product may alternatively be identified by the system by matching all or part of the billing number with billing numbers (or ranges of billing numbers) stored in an identification database, where the stored billing numbers are co elated with the category of billing product.
  • the identification database may also correlate a billing number with the particular type of billing product for the category. For example, where the ' category of the billing number is identified as a credit card, the identification database may use the billing number to further identify the type of credit card, such as Visa, Master Card, American Express, etc.
  • the '354 patent also identifies fraudulent activity by monitoring use of a billing number over time. For example, where the number of domestic calls placed within a certain amount of time using the same billing number exceeds a threshold, an alert is generated. International calls are similarly handled, however, the threshold may be adjusted so that fewer calls within the time period generate an alert. In addition, the threshold may be further adjusted for calls to countries where a high percentage of fraudulent calls are directed. The thresholds may also be varied by the billing product. For example, fraudulent activity may be determined to be more likely to occur on a calling card than on a third party call; consequently, the threshold may be set lower for calling card products.
  • a call initiates an alert that the call might be fraudulent, additional activity may be taken to further examine whether the billing number is being used fraudulently, or steps may be taken to prevent further calls using the billing number.
  • additional activity may be taken to further examine whether the billing number is being used fraudulently, or steps may be taken to prevent further calls using the billing number.
  • data for prior calls charged to the billing number are sent to a fraud analyst, who analyzes that data and may determine whether or not to deactivate the card. If the decision is to deactivate the card, the '354 patent describes the analyst as setting a fraud flag. Setting of the fraud flag causes subsequent calls using this billing number to be intercepted or blocked.
  • a faster method and system for blocking or intercepting a call made on a flagged billing number utilizes a billed number screening database.
  • a billed number screening database is known for calling cards and credit card billing products.
  • a data file is created in the billed number screening database that is retrievable using the card number, thus flagging the card.
  • the operator or automatic response unit checks to see if the billing number is flagged in the billed number screening database. If it has, then the call is intercepted or blocked. If not, the call is allowed to proceed.
  • a file (flag) for a calling card in the billed number screening database once fraudulent activity has been detected can be done within a few minutes after fraud is detected, and is immediately accessible by operators and the automatic response unit.
  • the billed number screening database reduces the amount of time from when the fraud is detected to when the calling card is blocked or intercepted.
  • the algorithm had to sort through a relatively large number of billing numbers to determine whether the caller's billing number was flagged in the database. This was a relatively slow and inefficient process. It also prevented expansion of the billed number screening database to include additional categories and types of billing products.
  • Pre-paid calling cards are similar to debit accounts where money is deposited in an account and calls are charged against the account number.
  • a pft-paid calling card may be stolen and used for fraudulent calling activity. In general, the level of fraudulent activity is limited to the amount remaining in the card's account.
  • the pre-paid calling card account is linked to a customer's credit card, so that it is replenished upon the request of the user. Under these circumstances, it is possible for a criminal who has the pre-paid calling card to have the card replenished. Alternatively, such a pre-paid calling card account can be replenished with a stolen credit card.
  • Pre-paid calling cards received a separate, but related type of fraud treatment in the past. Calls placed using pre-paid calling cards were monitored for fraud and an alert was generated if fraudulent activity was detected. For example, the method described in the '354 patent was one known way of detecting fraudulent use of pre-paid phone cards. Once fraud was detected on the pre-paid phone card, an account database was accessed to determine if a credit card was linked to the account to replenish the phone card. If so, it was entered in a separate screening database for pre-paid phone cards.
  • the account representative When a user called the account services branch of the telecommunications company to have a pre-paid calling card replenished with a credit card, the account representative would check the pre-paid phone card screening database and, if the credit card number was found in the pre-paid phone card screening database, the person was not permitted to charge or purchase the phone card.
  • the present invention includes a database having input that receives billing numbers that generate a fraud alert.
  • the database is configured to store billing numbers of a multiplicity of categories of billing products. Storage of billing numbers in the database is organized by at least one indicia of the billing product for the billing number.
  • the database may be organized by category of billing products, such as calling cards, credit cards and pre-paid phone cards.
  • the database may be organized by type of billing product.
  • the database interfaces and receives billing numbers as input from a computer that generates fraud alerts.
  • the computer may have software that analyzes the billing number record of at least one prior charge to a billing number and generates a fraud ale ⁇ . for the billing number when a pre-defined condition is met,
  • the database is accessed by at least one system for checking whether a billing number tendered to or invoked via the system is in the database.
  • the system may be an automatic response unit, a manual telephone operator console, a system that replenishes pre-paid calling cards, and/or a system that creates a new account. The service is denied if the billing number is found in the database.
  • Fig. 1 is a block diagram of a telephone system that includes an intelligent services network (ISN);
  • ISN intelligent services network
  • Fig. la is a block diagram of an alternative telephone system that includes an ISN
  • Fig. 2 is a block diagram of a first preferred embodiment of the present invention as supported by the infrastructure of an ISN;
  • Fig. 3 is a block diagram of a second preferred embodiment of the present invention as supported by the infrastructure of an ISN.
  • a call from an originating telephone 10 (also referred to as an originating automatic number indicator or originating ANT) is connected to an ISN 40 tlrrough a first competitive local exchange carrier 20 (CLEC) and a first bridge switch (B/S) 30.
  • CLEC competitive local exchange carrier
  • B/S first bridge switch
  • the ISN 40 routes the call to terminating telephone 70 (also referred to as an terminating automatic number indicator or terminating ANI) via a second B/S 50 and a second CLEC 60,
  • additional or alternative infrastructure may support the connection between the originating ANI and the ISN and/or between the terminating ANT and the ISN.
  • additional or alternative infrastructure may support the connection between the originating ANI and the ISN and/or between the terminating ANT and the ISN.
  • the call is routed from the ISN 40a to the terminating ANI 70a through B/S 50a, international gateway switching 60a and the local switching infrastructure 65a of the foreign country.
  • the foreign country infrastructure 65a can be comprised of a number of regional and local carriers.
  • the supporting connections for a call that is placed using the ISN platform are billed to a company that owns and/or operates the ISN (referred to as the "telecommunications company").
  • the connection charges of CLEC 20, B/S 30, B/S 50 and CLEC 60 are the responsibility of the telecommunications company.
  • the telecommunications company is responsible for the connection charges shown in Fig. la, including the international gateway connection 60a and the connections 65a made in the foreign country by foreign carriers.
  • the telecommunications company passes these costs along to its customer, typically the caller at the originating ANI.
  • the caller uses a calling card at an originating ANI that is a pay phone
  • the call is billed to the card account number by the telecommunications company.
  • the telecommunications company still must pay the supporting connection charges for the call, but cannot bill a customer for the call. This is the principle cost of fraud to the tel ⁇ commumcations company: having to pay connection charges to other companies that support the fraudulent call. While there is also a loss to the telecommunications company for use of the ISN, the cost of internal use is small in comparison with telecommunications company's responsibility for third party connection charges.
  • Fig. 2 represents a preferred embodiment of a system 100 of the present invention.
  • the system shown in Fig. 2 is part of a larger ISN platform, such as the ISN platforms represented in Figs. 1 and la.
  • the system 100 is comprised of a local area network (LAN) 110 that interfaces with a fraud control center 120 and three sub-platforms 130a, 130b, 130c.
  • the three sub- platforms 130a-c each have component systems that support the present invention which are substantially equivalent, and each sub-platform 130a-c provides access to the ISN platform, including processing and switching of calls.
  • sub-platfor 130a includes an automatic response unit (ARU) 132a, a manual telecommunications operator console (MTOC) 134a and a BNS server 136a (described in more detail below) that interface via an ethemet rail 138a.
  • Second and third sub-platforms 130b, 130c have analogous components designated with die same numbers having "b" and "c" suffixes, respectively.
  • a special service call is received by the ISN via one of the ARUs or one of the MTOCs.
  • the call shown in Fig. 1 may be connected from the B/S 30 to the ISN 40 via one of the ARUs 132a-c or MTOCs 134a-c shown in Fig. 2.
  • calls that require special services generally require the caller to manually supply a portable billing number (such as a credit card, calling card, pre-paid phone card, supplying a home phone number for a third party call, etc.), such as by pressing numbers on a payphone, swiping the magnetic strip on a card or speaking with an operator.
  • a portable billing number such as a credit card, calling card, pre-paid phone card, supplying a home phone number for a third party call, etc.
  • Special services of an ISN are typically accessed by a toll free or special access number, such as MCI Worldcomm's (800) 888-8000 access number.
  • Each sub-platform shown in Fig. 2 may, for example, focus on serving different geographic regions, different categories of calls, etc. Alternatively, they may be used to provide redundancy, in the event one sub-platform fails or requires maintenance. Alternatively, one or more of the sub-platforms may remain dormant until caller demand for the other active sub- platform (s) requires extra capacity.
  • Fraud control center 120 generates alerts and flags for all billing numbers suspected of Being used to make fraudulent calls using the Sin's special services.
  • call data received through the ARUs 132a-c or the MTOCs 134a-c is sent via the LAN 110 to fraud control center 120.
  • Fraud control center 120 has processors and software that monitors the billing numbers used to place calls over time.
  • Fraud control center 120 also includes analysis software that generates alerts of possible fraud based on the calling patterns, originating ANIs, terminating ANIs, etc. for calls placed on a billing number.
  • the fraud control center 120 receives and analyzes billing numbers for substantially all billing products that mayhe used to place special services calls.
  • Common billing products that may be used to place special service calls through an ISN include calling cards, pre-paid phone cards and credit cards.
  • the billing numbers that the fraud control center may analyze include calling card numbers for a multiplicity of calling card products, pre- paid phone card numbers for a multiplicity of pre-paid phone products, and a number of types of credit cards.
  • the software at the fraud control center 120 When possible fraud is detected for a billing number, the software at the fraud control center 120 generates an alert.
  • the data may be sent to a fraud analyst, who, after analyzing the data and/or communicating with the caller, may determine that the billing number is being used fraudulently and set a fraud flag in the system. Alternatively, the software may set a fraud flag without any further inquiry.
  • the alerts and flags for the billing numbers may be generated, for example, by creating billing detail records and using the method and system described in the '354 patent.
  • fraud control center 120 interfaces with a master billed number screening (BNS) database 122. All billing numbers that receive fraud flags are entered in the BNS database 122.
  • BNS master billed number screening
  • Each billing number entered in the BNS database 122 is referenced by the category of billing product, such as credit cards and calling cards (as previously noted, the category of the billing product is normally identified by the caller when placing the special service call).
  • the billing number is also further referenced in the database by the particular type of billing product for the category. For example, where the category of the billing product for a billing number is a credit card, the type may be Master Card, American Express, Visa, etc. W ere the category of the billing product for a billing number is MCI calling cards, for example, the type may be MCI Card, Telecom USA Card, PSCC Card, VNET Vision, etc.
  • the billing number 0123- 0123-0123-0123 is stored by a controller or processor in the area of the BNS database 122 database referenced by category 03, type 02. s described further below, such subdividing ⁇ f the billing numbers stored in the BNS database 122 according to category and type provides faster and more reliable look-up of blocked billing numbers.
  • Billing numbers for pre-paid phone cards that generate fraud flags are not directly entered into the BNS database 122.
  • The. outstanding balance on a phone card is finite and is pre-paid to the ISN company.
  • the fraud control center 120 looks up the pre-paid phone card account in a general billing number (account) database to determine whether a credit card is used to charge the phone card. If so, the credit card number is entered in the BNS database 122, likewise referenced by the category number for. credit cards and the type number for the particular card, as described above.
  • the BNS database 122 thus contains billing numbers that are flagged for fraud, stored according to category and type of billing product. (The entry of a billing number in the BNS database 122 may itself be considered "flagging" the billing number.) Once it is determined that a billing number is being used fraudulently, the entry of the billing number in the BNS database 122 may be executed in real time: If software in the fraud control center 120 directly determines that the card is being used fraudulently, the computer electronically transmits the billing, number, category and type for storage in the BNS database 122.
  • the software allows the fraud analyst to view the billing number data on a display screen, and provides the operator with a key, icon or equivalent to electronically transmit the billing number, category and type for storage in the BNS database 122.
  • the BNS database 122 is continuously updated with fraudulent billing numbers as soon as they are identified.
  • the BNS database 122 is used as the principle database for blocking or intercepting fraudulently placed calls.
  • newly identified fraudulent billing numbers that are stored in master BNS database 122 (referenced by category and type) are also sent to BNS servers 136a-c for the first, second and third sub-platforms over the LAN 110.
  • BNS servers 136a-c also store the billing numbers by category and type.
  • BNS servers 136a-c duplicate the data found in the BNS database 122.
  • the BNS servers 136a-c are updated with billing numbers identified as being used fraudulently within minutes of their identification.
  • the BNS servers 136a-c are updated over the LAN 110, there may be a slight time delay between when the BNS database 122 is updated with billing numbers that are newly identified as being used fraudulently and when the BNS servers I36a-c are updated with those numbers. Also, the system software may send newly identified numbers to the BNS servers 136a-c in batches after a short period of time, in order to simplify management by the LAN. However, like the BNS database 122, the BNS servers 136a-c are effectively updated immediately after the fraud is detected.
  • a call that is placed using the special services of the ISN may be connected through CLEC 20 and B/S 30 shown in Fig. 1. It may be received at the ISN via an ARU or an MTOC.
  • the ARU and MTOC are generally computer based systems. For example, a call placed using a particular billing number may be received and processed by ARU 132a of the first sub-platform 1 0a shown in Fig. 2. Before the call is connected, ARU 132a accesses BNS server 136a via the ethemet rail 138a to determine if a fraud flag exists for the billing number. The billing number is looked up according to category and type of billing product in the database of the BNS server 132a.
  • billing numbers are stored in the BNS server 132a by category and type of billing product (like the BNS database 122 and the other BNS servers 132b-c), the look-up is quicker since it is not compared with billing numbers for other products. If the billing number is found in the BNS server database for the category and type of billing product, then a message is sent to the ARU 132a to block the call or to have an operator intercept the call and make further inquiry. If not, the call is connected. The billing numbers for all special service calls received by the ISN via one of the ARUs 132a-c or one of the MTOCs 134a-c are checked against the billing numbers for the category and type in the respective BNS server 136a-c.
  • the credit card is flagged for fraud in the BNS database 122 by storing billing number 0123-0123-0123-0123 in category 03, type 02 of the BNS database 122.
  • this billing number is rapidly distributed to the BNS servers 136a-c, where it is also stored according to category and type.
  • ARU 132a receives a call placed using Visa credit card number 0123-0123-0123-0123 after it has been flagged in the BNS database 122 and BNS servers 138a-c, then the check of BNS server 136a for Visa credit card (i.e., category 03, type 02) having billing number 0123-0123-0123-0123 will reveal it has been flagged and the call is either blocked or otherwise intercepted by the ARU 132a.
  • ARU 132a receives a call placed using Visa credit card number 0123-0123-0123-0123 after it has been flagged in the BNS database 122 and BNS servers 138a-c.
  • second and third sub-platforms 130b, 130c have analogous components to sub-platform 130a.
  • second and third sub-platforms 130b, 130c also have an ARU 130b, 130c, MTOC 134b, 134c, BNS server 136b, 136c and interfacing ethemet rail 138b, 138c.
  • These additional sub-platforms can serve different regions, provide extra calling capacity, etc.
  • a special service call may be received by the ISN via any ARU 132a-c or MTOC 134a-c, and a fraud look-up will take place for the billing number using the BNS server 136a-c for the sub-platform.
  • the call will be blocked or intercepted if a billing number for the category and type of billing product is found in the BNS server 136a-c, or will be connected if it is not.
  • the BNS database 122 (and the BNS servers 136a-c) is a centralized blocking database for the ISN that is rapidly updated and provides an immediate block of a fraudulently identified billing number. It provides blocking data for all billing numbers, organized by category and type of billing product.
  • the BNS database 122 (or the BNS servers 136a-c) is not simply used to block calls, but is used to block other frauds that are perpetrated via the ISN.
  • the BNS database 122 may be consulted by any system in the telecommunications company where a billing product is tendered or invoked. In particular, it may be used by the customer service operations when a person attempts to create or replenish an account using a billing product.
  • the credit card used to charge the calling card is flagged in the BNS database 122 by billing number, category and type.
  • billing number When distributed to the BNS servers 1 6a-c as described above, the credit card will be effectively blocked for direct use in placing special service calls.
  • the billing number being used to charge the card may also be checked against the BNS database 122. If the billing number is found listed for the category and type of the billing product in the BNS database 122, then the charge is denied.
  • billing numbers that are used to open accounts may also be checked against the BNS database before it is opened. If the billing number is found listed for the category and type of the billing product in the BNS database 122, then the account is not opened.
  • the BNS database can eliminate fraudulent accounts before their inception.
  • Some or all of the information in the BNS database may also be shared or licensed to third parties, such as the companies issuing the credit cards that have been flagged as f audulent.
  • the BNS database may be used by the ISN to block fraudulent calls and may also be used by credit card companies to block other use of flagged cards.
  • the preferred embodiment shown in Fig. 2 and described above includes first through third sub-systems 130a-c that each use a separate BNS server 136a-c to determine whether the call should be connected or blocked.
  • the three sub-systems can provide service to separate geographical regions, provide extra capacity, and/or provide redundancy.
  • the present invention may also be supported by other system configurations, such as the more simplified system shown in Fig, 3.
  • the system lOOx of Fig. 3 is comprised of an ARU 132x, an MTOC 134x, fraud control center 120x and BNS 122x that interface via ethemet rail 138x.
  • BNS 122x is depicted as interfacing with fraud control center 120x because in general the master (and in this case, the only) BNS database 122x will be located in the same physical facility as the fraud control center 120x. However, the ARU 132x and the MTOC 134x may access the BNS database 122x as if it were connected directly to the ethemet rail 138x.
  • the system of Fig. 3 functions in the same manner as the system of Fig. 2, except that the three sub-systems of Fig. 2 are effectively replaced by one ARU 132x and one MTOC 134x.
  • the BNS server is eliminated since the ARU 132x and MTOC 134x directly access the BNS database 122x in the fraud control center 122x.
  • the fraud control center 120x generates alerts for potential fraudulent use of billing numbers and fraud flags for the billing numbers are created in the BNS database 122x, referenced by category and type of billing product.
  • the ARU 132x or the MTOC 134x receive and process special service calls, including checking whether the billing number for the category and type of billing product being used for the call is found in the BNS database 122x.
  • the call is blocked or otherwise intercepted. If not, the call is connected.
  • Other systems in the telecommunications company such as the system(s) 140x that serve the customer service operations, may also access the BNS database 122x whenever a billing product is tendered or invoked.

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  • Engineering & Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Computer Security & Cryptography (AREA)
  • Meter Arrangements (AREA)

Abstract

L'invention concerne une base de données (BSN 122) pourvue d'une entrée (provenant du centre de vérification des fraudes 120) qui reçoit des numéros de facturation produisant une alerte à la fraude. Ladite base de données (BSN 122) est configurée pour stocker des numéros de facturation d'une pluralité de catégories de produits de facturation. Le stockage des numéros de facturation dans la base de données est organisé par le biais d'au moins un indice du produit de facturation destiné au numéro de facturation.
PCT/US2002/022984 2001-07-19 2002-07-19 Procede et systeme de prevention d'une fraude dans un systeme de telecommunications WO2003009575A1 (fr)

Priority Applications (2)

Application Number Priority Date Filing Date Title
EP02759162A EP1417827A1 (fr) 2001-07-19 2002-07-19 Procede et systeme de prevention d'une fraude dans un systeme de telecommunications
MXPA04000570A MXPA04000570A (es) 2001-07-19 2002-07-19 Metodo y sistema para prevenir fraude en un sistema de telecomunicaciones.

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US90883101A 2001-07-19 2001-07-19
US09/908,831 2001-07-19

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WO2003009575A1 true WO2003009575A1 (fr) 2003-01-30

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PCT/US2002/022984 WO2003009575A1 (fr) 2001-07-19 2002-07-19 Procede et systeme de prevention d'une fraude dans un systeme de telecommunications

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MX (1) MXPA04000570A (fr)
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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20180082368A1 (en) * 2010-12-14 2018-03-22 Early Warning Services, Llc System and method for detecting fraudulent account access and transfers

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5479494A (en) * 1992-10-05 1995-12-26 At&T Corp. Virtual calling card system
US5875236A (en) * 1995-11-21 1999-02-23 At&T Corp Call handling method for credit and fraud management
US6128626A (en) * 1998-06-30 2000-10-03 Bull Hn Information Systems Inc. Method for minimizing storage requirements for production assembly information and updates

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5479494A (en) * 1992-10-05 1995-12-26 At&T Corp. Virtual calling card system
US5875236A (en) * 1995-11-21 1999-02-23 At&T Corp Call handling method for credit and fraud management
US6128626A (en) * 1998-06-30 2000-10-03 Bull Hn Information Systems Inc. Method for minimizing storage requirements for production assembly information and updates

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20180082368A1 (en) * 2010-12-14 2018-03-22 Early Warning Services, Llc System and method for detecting fraudulent account access and transfers

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MXPA04000570A (es) 2004-07-08
EP1417827A1 (fr) 2004-05-12

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