Fraud Monitoring Apparatus

Patent metadata

Field	Value
Publication number	US-2018293584-A1
Application number	US-201815946441-A
Country	US
Kind code	A1
Filing date	Apr 5, 2018
Priority date	Apr 11, 2017
Publication date	Oct 11, 2018
Grant date	—

Abstract

A fraud monitoring apparatus for determining a fraud score representing a relative risk of fraudulent activity for a payment request, comprising one or more processors in communication with non-transitory data storage having instructions stored thereon which, when executed by the processor or processors, cause the apparatus to perform a fraud monitoring process comprising: receiving, from an authorization server, a fraud monitoring request including transaction-related data; identifying, from said transaction-related data, an associated mobile computer device; sending a request for authentication data to the mobile computer device; receiving requested authentication data from the mobile computer device; generating a fraud score, from the received requested authentication data and the transaction-related data, representing a relative risk of fraudulent activity; and sending data representing the fraud score to the authorization server.

First claim

What is claimed is:

1 . A fraud monitoring apparatus for determining a fraud score representing a relative risk of fraudulent activity for a payment request, comprising one or more processors in communication with non-transitory data storage having instructions stored thereon which, when executed by the one or more processors, cause the apparatus to:
receive, from an authorization server, a fraud monitoring request including transaction-related data; identify, from said transaction-related data, an associated mobile computer device; send a request for authentication data to the mobile computer device; receive requested authentication data from the mobile computer device; generate a fraud score, from the received requested authentication data and the transaction-related data, representing a relative risk of fraudulent activity; and send data representing the fraud score to the authorization server.

2 . The apparatus claimed in claim 1 , wherein the authorization server comprises one or more of the following:
a server of an issuer processor system; a server of a payment network; and a server of a third party system.

3 . (canceled)

4 . The apparatus claimed in claim 1 , wherein the transaction-related data includes payment information; and
wherein the instructions, when executed by the one or more processors, further cause the apparatus to identify a purchaser from the payment information, the payment information comprising one or more of the following:
a primary account number (PAN); and
a payment token associated with the PAN.

5 . The apparatus claimed in claim 4 , wherein the instructions, when executed by the one or more processors, further cause the apparatus to retrieve purchaser information associated with the identified purchaser, the purchaser information including one or more of the following:
an age of the purchaser; a spending history of the purchaser; a credit limit of the purchaser; a credit history of the purchaser; information associated with a mobile computer device of the purchaser; information associated with a mode(s) of authentication of the purchaser; information associated with a connected device(s) of the purchaser; and information associated with a social network account(s) of the purchaser.

6 . The apparatus claimed in claim 1 , wherein the request for authentication data includes a request for one or more of the following:
geo-location information of the mobile computer device; geo-location-tagged social network activity; biometric authentication; and a password or PIN.

7 . The apparatus claimed in claim 1 , wherein the request for authentication data includes a request for biometric authentication, the biometric authentication including one or more of the following:
a fingerprint scan; a retina scan; voice recognition; facial recognition; hand geometry biometrics; finger geometry biometrics; an iris scan; signature recognition; and handwritten biometric recognition.

8 . The apparatus claimed in claim 1 , wherein the instructions, when executed by the one or more processors, further cause the apparatus to generate a fraud score from fraud parameters comprising one or more of the following:
a transaction amount; a distance between a location of a merchant and a purchaser; a deviation from historical purchaser spending behavior; a purchaser risk; and a purchaser authentication.

9 . The apparatus claimed in claim 8 , wherein the instructions, when executed by the one or more processors, further cause the apparatus to assign a risk level to each one of said fraud parameters based on a respective level of risk of fraudulent activity.

10 . The apparatus claimed in claim 8 , wherein the instructions, when executed by the one or more processors, further cause the apparatus to assign a risk score to each one of said fraud parameters based on the transaction-related data, retrieved purchaser information and received requested authentication data.

11 .- 15 . (canceled)

16 . A fraud monitoring method, performed by one or more processors in communication with non-transitory data storage having instructions stored thereon which are configured to determine a fraud score representing a relative risk of fraudulent activity for a payment request, the method comprising:
receiving, from an authorization server, a fraud monitoring request including transaction-related data; identifying, from said transaction-related data, an associated mobile computer device; sending a request for authentication data to the mobile computer device; receiving requested authentication data from the mobile computer device; generating a fraud score from the received requested authentication data representing a relative risk of fraudulent activity; and sending data representing the fraud score to the authorization server.

17 . The method claimed in claim 16 , wherein the authorization server includes one or more of the following:
a server of an issuer processor system; a server of a payment network; and a server of a third party system.

18 . The method claimed in claim 17 , wherein the transaction-related data comprises one or more of the following:
transaction information; merchant information; and payment information.

19 . The method claimed in claim 16 , further comprising identifying a purchaser from payment information comprising one or more of the following:
a primary account number (PAN); and a payment token associated with the PAN.

20 . The method claimed in claim 19 , further comprising retrieving purchaser information associated with the identified purchaser, the purchaser information including one or more of the following:
an age of the purchaser; a spending history of the purchaser; a credit limit of the purchaser; a credit history of the purchaser; information associated with a mobile computer device of the purchaser; information associated with a mode(s) of authentication of the purchaser; information associated with a connected device(s) of the purchaser; and information associated with a social network account(s) of the purchaser.

21 . The method claimed in claim 16 , wherein the request for authentication data comprises a request for one or more of the following:
geo-location information of the mobile computer device; geo-location-tagged social network activity; biometric authentication; and a password or PIN.

22 . The method claimed in claim 16 , wherein the request for authentication data includes a request for biometric authentication, the biometric authentication including one or more of the following:
a fingerprint scan; a retina scan; voice recognition; facial recognition; hand geometry biometrics; finger geometry biometrics; an iris scan; signature recognition; and handwritten biometric recognition.

23 . The method claimed in claim 16 , further comprising generating a fraud score from fraud parameters comprising one or more of the following:
a transaction amount; a distance between a location of a merchant and a purchaser; a deviation from historical purchaser spending behavior; a purchaser risk; and a purchaser authentication.

24 . The method claimed in claim 23 , further comprising assigning a risk level to each one of said fraud parameters based on a respective level of risk of fraudulent activity.

25 . The method claimed in claim 23 , further comprising assigning a risk score to each one of said fraud parame

Assignees

• Mastercard Asia Pacific Pte Ltd

Inventors

• Maheshwari Rajat
• YEN Philip Wei Ping

Classifications

• G06Q10/40

  Business processes related to social networking or social networking services · CPC title

• G06Q20/401

  Transaction verification · CPC title

• G06Q50/01

  Physics · mapped topic

• G06Q20/40145

  Biometric identity checks · CPC title

• G06Q20/4016 Primary

  involving fraud or risk level assessment in transaction processing · CPC title