DETECTING BEHAVIORAL PATTERNS AND ANOMALIES USING METADATA

• US 20150088798A1
• Filed: 09/23/2013
• Published: 03/26/2015
• Est. Priority Date: 09/23/2013
• Status: Abandoned Application

• Current Assignee: Mastercard International Incorporated (MasterCard Incorporated)
• Original Assignee: Mastercard International Incorporated (MasterCard Incorporated)
• Inventors: Ghosh, Misha, Shuken, Randy
• Application Number:
  US14/033,867
• Publication Number:
  US 20150088798A1
• Time in Patent Office: Days
• US Class Current: 706/46
• CPC Class Codes: G06Q 10/04 Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem" market predictions or forecasting for commercial activities G06Q30/0202
• CPC Class Codes: G06Q 20/4016 involving fraud or risk level assessment in transaction processing
• CPC Class Codes: G06Q 40/08 Insurance
• CPC Class Codes: G06Q 50/265 Personal security, identity or safety

Abstract

A method and a system are provided that include retrieving, from one or more databases, a first set of information including metadata of electronic communications of one or more entities, and retrieving, from one or more databases, a second set of information including metadata of telecom communications of the one or more entities. The method and system also include analyzing the metadata of the electronic communications and the metadata of the telecom communications to determine one or more interconnection associations of the one or more entities, and identifying activities and characteristics attributable to the one or more entities based on the one or more interconnection associations. The method and system are useful for identifying networks through metadata to prevent criminal or other unlawful activity (e.g., fraud, theft, etc.) and/or to mine for opportunities.

Claims

1. A method comprising:

retrieving, from one or more databases, a first set of information including metadata of electronic communications of one or more entities;

retrieving, from one or more databases, a second set of information including metadata of telecom communications of the one or more entities;

analyzing the metadata of the electronic communications and the metadata of the telecom communications to determine one or more interconnection associations of the one or more entities; and

identifying activities and characteristics attributable to the one or more entities based on the one or more interconnection associations.

2. The method of claim 1, wherein the identified activities and characteristics are any one selected from the group consisting of economic espionage, industrial espionage, financial fraud, theft, and any other criminal or unlawful activity.

3. The method of claim 1, wherein the electronic communications is a communication selected from the group consisting of a computing device communication, a cellular telephone communication, a pager communication, and a personal digital assistant communication.

4. The method of claim 3, wherein the electronic communications comprise an email or a text message.

5. The method of claim 1, wherein the telecom communications is a communication selected from the group consisting of a cellular telephone communication, a land line telephone communication, and a computing device communication.

6. The method of claim 5, wherein the telecom communications is a call selected from the group consisting of a cellular telephone call, a land line telephone call, and a Skype call.

7. The method of claim 1, wherein the metadata of electronic communications comprises, for each electronic communication, at least one of the form of the electronic communication, the purpose of the electronic communication, the time and date of the electronic communication, the creator or author of the electronic communication, the geographic location(s) associated with the electronic communication, the duration of the electronic communication, and the standards used.

8. The method of claim 1, wherein the metadata of telecom communications comprises, for each telecom communication, at least one of the form of the telecom communication, the purpose of the telecom communication, the time and date of the telecom communication, the creator of the telecom communication, the geographic location(s) associated with the telecom communication, the duration of the telecom communication, and the standards used.

9. The method of claim 1, wherein the electronic communications is generated by a device, and wherein said device is selected from the group consisting of a computing device, a cellular telephone, a pager, and a personal digital assistant.

10. The method of claim 1, wherein the telecom communications is generated by a device, and wherein said device is selected from the group consisting of a cellular telephone, a land line telephone, and a computing device.

11. The method of claim 1, further comprising:

weighting the metadata of electronic communications and metadata of telecom communications based on at least one form of metadata, frequency of metadata activities, amount of time between metadata activities, time and date of metadata activities, geographic location(s) of metadata activities, and duration of metadata activities.

12. The method of claim 1, further comprising:

filtering the metadata of electronic communications and metadata of telecom communications based on at least one of geographic location(s) of metadata activities and time or duration of metadata activities.

13. The method of claim 1, wherein the first set of information including metadata of electronic communications comprises metadata of social network communications and the one or more entities comprise social network users.

14. The method of claim 13, wherein the social network is selected from the group consisting of Facebook®

, Pinterest®

, Twitter®

, Myspace®

, LinkedIn®

, MySpace®

, and Google®

.

15. The method of claim 1, further comprising:

analyzing the one or more identified activities and characteristics to determine behavioral information of the one or more entities; and

extracting information related to an intent of the one or more entities from the behavioral information.

16. The method of claim 1, wherein the retrieving of the first set of information and the retrieving of the second set of information are from the same one or more databases.

17. The method of claim 1, further comprising:

generating one or more network graphs based on the interconnection associations of the one or more entities.

18. A system comprising:

one or more databases configured to store a first set of information including metadata of electronic communications of one or more entities;

one or more databases configured to store a first set of information including metadata of telecom communications of the one or more entities; and

a processor configured to

analyze the metadata of the electronic communications and the metadata of the telecom communications to determine one or more interconnection associations of the one or more entities; and

identify activities and characteristics attributable to the one or more entities based on the one or more interconnection associations.

19. A method for generating one or more interconnection associations, said method comprising:

retrieving, from one or more databases, a first set of information including metadata of electronic communications of one or more entities;

retrieving, from one or more databases, a second set of information including metadata of telecom communications of the one or more entities; and

analyzing the metadata of the electronic communications and the metadata of the telecom communications to determine one or more interconnection associations of the one or more entities.

20. The method of claim 19, wherein the interconnection associations are capable of predicting behavior and intent of the one or more entities.

21. A system for generating one or more interconnection associations, said system comprising:

one or more databases configured to store a first set of information including metadata of electronic communications of one or more entities;

one or more databases configured to store a first set of information including metadata of telecom communications of the one or more entities; and

a processor configured to analyze the metadata of the electronic communications and the metadata of the telecom communications to determine one or more interconnection associations of the one or more entities.