Systems and Methods For Estimating Probability Of Identity-Based Fraud

• US 20150199784A1
• Filed: 03/25/2015
• Published: 07/16/2015
• Est. Priority Date: 07/03/2012
• Status: Abandoned Application

• Current Assignee: LexisNexis Risk Solutions, Inc. (RELX PLC)
• Original Assignee: LexisNexis Risk Solutions, Inc. (RELX PLC)
• Inventors: Straub, Scott M., Bucholz, Andrew John, Thorogood, Marlene, Paganacci, Jennifer, Faidley, Monty, Smith, Lea, Lappenbusch, Steve
• Application Number:
  US14/667,977
• Publication Number:
  US 20150199784A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06Q 20/4016 involving fraud or risk level assessment in transaction processing
• CPC Class Codes: G06Q 50/265 Personal security, identity or safety

Abstract

Certain embodiments of the disclosed technology may include systems and methods for detecting fraud. A method is provided that includes: receiving entity-supplied information comprising at least a name, a social security number (SSN), and a street address associated with a request for a payment or a benefit; querying one or more databases with the entity-supplied information; receiving a plurality of information in response to the querying; determining a validity indication of the entity supplied information; disambiguating the entity-supplied information responsive to the determined validity indication; scoring, based at least in part on a comparison of the disambiguated entity-supplied information with at least a portion of the plurality of independent information, one or more parameters; determining one or more indicators of fraud based on the scoring; and outputting, for display, one or more indicators of fraud.

Claims

1. A computer-implemented method comprising:

receiving entity-supplied information comprising at least a name, a social security number (SSN), and a street address associated with a request for a payment or a benefit;

querying one or more public or private databases with the entity-supplied information;

receiving a plurality of information in response to the querying;

determining, with one or more computer processors in communication with a memory, based at least in part on a comparison of the entity-supplied information with at least a portion of the plurality of independent information, a validity indication of the entity supplied information;

disambiguating the entity-supplied information responsive to the determined validity indication;

scoring, with one or more computer processors in communication with a memory, based at least in part on a comparison of the disambiguated entity-supplied information with at least a portion of the plurality of independent information, at least one parameter of the entity-supplied information;

determining one or more indicators of fraud based on the scoring of the at least one parameter; and

outputting, for display, one or more indicators of fraud.

2. The method of claim 1, wherein the at least one parameter of the entity-supplied information comprises a distance between the entity-supplied street address and a street address of one or more entity relatives or entity associates.

3. The method of claim 1, wherein the at least one parameter of the entity-supplied information comprises a number of records associating the entity-supplied SSN and the entity-supplied street address.

4. The method of claim 1, wherein the at least one parameter of the entity-supplied information comprises a number of unique SSNs associated with the entity-supplied street address.

5. The method of claim 1, wherein the at least one parameter of the entity-supplied information comprises a number sources reporting the entity-supplied SSN with the entity-supplied name.

6. The method of claim 1, wherein the at least one parameter of the entity-supplied information comprises a number of other entities associated with the entity-supplied SSN.

7. The method of claim 1, further comprising scoring neighborhood fraud metrics based on the entity-supplied street address and further based on one or more of:

presence of businesses in the surrounding neighborhood;

density of housing in the neighborhood; and

median income in the neighborhood.

8. The method of claim 1, wherein determining the validity indication of the entity supplied information further comprises determining one or more of:

whether entity is deceased;

whether the entity is currently incarcerated;

whether the entity has an incarceration record;

time since incarceration if the entity has an incarceration record;

whether the entity has been involved in a bankruptcy, and whether the entity-supplied address is included in public record.

9. The method of claim 1, wherein the plurality of independent information includes one or more of:

an indication of whether or not the entity is deceased;

a date of death when the entity is indicated as deceased;

independent address information associated with the entity;

address validity information associated with the entity-supplied information; and

one or more records associated with the entity-supplied information;

or no information.

10. The method of claim 1, wherein receiving the plurality of independent information comprises receiving the one or more records comprising one or more of housing records, vehicular records, marriage records, divorce records, hospital records, death records, court records, property records, incarceration records, tax records, and utility records, wherein the utility records comprise one or more of utility hookups, disconnects, and associated service addresses.

11. The method of claim 1, wherein receiving the independent address information or the address validity information comprises receiving one or more addresses of relatives or associates of the entity.

12. The method of claim 1, wherein the one or more public or private databases are independent of a government agency.

13. The method of claim 1, wherein receiving the entity-supplied information comprising receiving the name, SSN, and street address is associated with a request for a payment or a benefit from a government agency.

14. A system comprising:

at least one memory for storing data and computer-executable instructions; and

at least one processor configured to access the at least one memory and further configured to execute the computer-executable instructions to;

receive entity-supplied information comprising at least a name, a social security number (SSN), and a street address associated with a request for a payment or a benefit;

query one or more public or private databases with the entity-supplied information;

receive a plurality of information in response to the querying;

determine, with the at least one processor, and based at least in part on a comparison of the entity-supplied information with at least a portion of the plurality of independent information, a validity indication of the entity supplied information;

disambiguate, with the at least one processor, the entity-supplied information responsive to the determined validity indication;

score, with the at least one processor, based at least in part on a comparison of the disambiguated entity-supplied information with at least a portion of the plurality of independent information, at least one parameter of the entity-supplied information;

determine one or more indicators of fraud based on the scoring of the at least one parameter; and

output, for display, at least one of the one or more indicators of fraud.

15. The system of claim 14, wherein the at least one parameter of the entity-supplied information comprises one or more of:

a distance between the entity-supplied street address and a street address of one or more entity relatives or entity associates;

a number of records associating the entity-supplied SSN and the entity-supplied street address;

a number of unique SSNs associated with the entity-supplied street address;

a number sources reporting the entity-supplied SSN with the entity-supplied name; and

a number of other entities associated with the entity-supplied SSN.

16. The system of claim 14, wherein the at least one processor is further configured to score neighborhood fraud metrics based on the entity-supplied street address and further based on one or more of:

presence of businesses in the surrounding neighborhood;

density of housing in the neighborhood; and

median income in the neighborhood.

17. The system of claim 14, wherein validity indication of the entity supplied information is further determined based one or more of:

whether entity is deceased;

whether the entity is currently incarcerated;

whether the entity has an incarceration record;

time since incarceration if the entity has an incarceration record;

whether the entity has been involved in a bankruptcy, and whether the entity-supplied address is included in public record.

18. The system of claim 14, wherein the plurality of independent information includes one or more of:

an indication of whether or not the entity is deceased;

a date of death when the entity is indicated as deceased;

independent address information associated with the entity;

address validity information associated with the entity-supplied information;

one or more records associated with the entity-supplied information, housing records, vehicular records, marriage records, divorce records, hospital records, death records, court records, property records, incarceration records, tax records, and utility records, wherein the utility records comprise one or more of utility hookups, disconnects, and associated service addresses.

19. The system of claim 14, wherein receiving the independent address information or the address validity information comprises receiving one or more addresses of relatives or associates of the entity.

20. One or more computer readable media comprising computer-executable instructions that, when executed by one or more processors, configure the one or more processors to perform the method of:

receiving entity-supplied information comprising at least a name, a social security number (SSN), and a street address associated with a request for a payment or a benefit;

querying one or more public or private databases with the entity-supplied information;

receiving a plurality of information in response to the querying;

determining, with one or more computer processors in communication with a memory, based at least in part on a comparison of the entity-supplied information with at least a portion of the plurality of independent information, a validity indication of the entity supplied information;

disambiguating the entity-supplied information responsive to the determined validity indication;

scoring, with one or more computer processors in communication with a memory, based at least in part on a comparison of the disambiguated entity-supplied information with at least a portion of the plurality of independent information, at least one parameter of the entity-supplied information;

determining one or more indicators of fraud based on the scoring of the at least one parameter; and

outputting, for display, one or more indicators of fraud.