SYSTEMS AND METHODS FOR IMPLEMENTING AUTHENTICATION BASED ON LOCATION HISTORY

• US 20150310434A1
• Filed: 04/29/2014
• Published: 10/29/2015
• Est. Priority Date: 04/29/2014
• Status: Abandoned Application

• Current Assignee: PayPal, Inc. (PayPal Holdings, Inc.)
• Original Assignee: PayPal, Inc. (PayPal Holdings, Inc.)
• Inventors: Cheung, Dennis Takchi
• Application Number:
  US14/265,085
• Publication Number:
  US 20150310434A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06Q 20/085 involving remote charge determination or related payment systems
• CPC Class Codes: G06Q 20/12 specially adapted for electronic shopping systems
• CPC Class Codes: G06Q 20/3224 Transactions dependent on location of M-devices
• CPC Class Codes: G06Q 20/40 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
• CPC Class Codes: H04L 2463/102 applying security measure for e-commerce data processing systems or methods, specially adapted for e-commerce G06Q30/00
• CPC Class Codes: H04W 12/06 Authentication
• CPC Class Codes: H04W 12/61 Time-dependent
• CPC Class Codes: H04W 12/63 Location-dependent; Proximity-dependent
• CPC Class Codes: H04W 12/64 using geofenced areas
• CPC Class Codes: H04W 12/67 Risk-dependent, e.g. selecting a security level depending on risk profiles
• CPC Class Codes: H04W 12/68 Gesture-dependent or behaviour-dependent

Abstract

A system and/or method may be provided to authenticate a user based on the user'"'"'s location history. In particular, the user'"'"'s past locations and movements may be detected at the user'"'"'s mobile device. Information with regard to the user'"'"'s movements and location may be collected and analyzed to determine certain routines, such as locations frequently visited or routes frequently taken. When a payment request is made from the user'"'"'s mobile device, the mobile device'"'"'s recent location history may be compared with the routines of the user. A confidence score may be generated based on the user'"'"'s recent location history. The confidence score may be used to authenticate the user for the payment request. In an embodiment, the confidence score may be used to determine the transaction fee for using a certain funding source, such as a credit card.

Claims

1. A system comprising:

a memory storing a payment account of a user and location history of the user; and

one or more processors in communication with the memory and adapted to;

receive an authentication request from the user;

perform a comparison analysis between recent location history of a user device and routines of the user;

authenticate the user based on the comparison analysis.

2. The system of claim 1, wherein the routines of the user comprise routine locations repeatedly visited by the user and routine routes repeatedly taken by the user.

3. The system of claim 2, wherein the comparison analysis comprises calculating a confidence score based on an amount of matching locations and routes between the recent location history of the user device and the routines of the user.

4. The system of claim 2, wherein the comparison analysis compares a manner of travel between the recent location history of the user device and the routines of the user including one or more of a travel speed, a manner of acceleration, a manner of deceleration, and a manner of turning.

5. The system of claim 3, wherein the one or more processors are further adapted to determine a transaction fee for using a credit card account in a payment transaction based on the confidence score.

6. The system of claim 5, wherein the transaction fee is less than a standard “

card-not-present”

fee when the confidence score is greater than a predetermined value.

7. The system of claim 3, wherein the one or more processors are further adapted to determine a log out frequency of the user device based on the confidence score.

8. The system of claim 3, wherein the one or more processors are further adapted to request additional security input from the user when the confidence score is less than a predetermined value.

9. The system of claim 1, wherein the recent location history of the user device comprises locations and routes of the user device during a particular period before the authentication request.

10. The system of claim 1, wherein a length of the particular period is determined based on a security requirement of the user authentication.

11. The system of claim 1, wherein the recent location history of the user device comprises locations and routes of the user device since a last user authentication.

12. A method comprising:

receiving, by hardware processor of a payment service provider, an authentication request from a user of a payment account registered at the payment service provider;

performing, by the hardware processor, a comparison analysis between recent location history of a user device and routines of the user;

authenticating, by the hardware processor, the user based on the comparison analysis.

13. The method of claim 12, wherein the comparison analysis comprises:

comparing routine locations and routine routes of the user with the recent location history of the user device; and

determining a confidence score based on an amount of locations and routes in the recent location history of the user device that match the routine locations and the routine routes of the user.

14. The method of claim 13, wherein the confidence score is increased when the amount of matching locations and routes increases.

15. The method of claim 13, wherein the confidence score is decreased when the recent location history of the user device includes a new location or a new route that has not been visited or taken by the user.

16. The method of claim 15 further comprising:

obtaining reports of a traffic incident occurred along routine route of the user;

determining whether the new location or the new route is associated with a detour caused by the traffic incident; and

reverse the decrease of the confidence score when the new location or the new route is associated with the detour.

17. The method of claim 15 further comprising:

analyzing a calendar of the user;

determining whether the calendar of the user includes an appointment associated with the new location or the new route; and

reverse the decrease of the confidence score when the new location or the new route is associated with the appointment.

18. A non-transitory computer-readable medium comprising instructions which, in response to execution by a computer system, cause the computer system to perform a method comprising:

collecting a location history of a user detected at a mobile device of the user;

determining routines of the user based on the location history of the user;

authenticating the user at the mobile device based on a comparison between a recent location history of the user and the routines of the user.

19. The non-transitory computer-readable medium of claim 18, wherein the method further comprises verifying a transaction made via the mobile device by comparing a location of the transaction with the routines of the user.

20. The non-transitory computer-readable medium of claim 18, wherein the method further comprises predicting the user'"'"'s need for a transportation resource based on the routines of the user.