Systems and methods for identifying entities using geographical and social mapping
First Claim
1. A computer-implemented method for identifying one or more entities associated with one or more fraudulent activities, the method comprising:
- determining, by at least one processor configured to access at least one online network, and from a plurality of locations associated with one or more online activities, one or more geographical regions proximate to the plurality of locations;
determining, from a system graph and by the at least one processor, connections between one or more identities of a population and a plurality of related entities associated with the one or more identities, wherein the connections are determined based on common relations in the system graph;
determining geographical information associated with the plurality of related entities;
determining one or more physical addresses associated with one or more incidents of identity theft;
weighting, by the at least one processor, one or more metrics for at least a portion of the one or more identities of the population based at least in part on the geographical information associated with the plurality of related entities and the one or more geographical regions proximate to the plurality of locations associated with the one or more activities, wherein the weighting the one or more metrics comprises applying a measure of common connections between the one or more identities and the plurality of related entities based on a distance between the geographical regions proximate to the plurality of locations associated with the one or more activities and the one or more physical addresses associated with one or more incidents of identity theft; and
outputting, based on the weighting, an indication of a likelihood that the one or more identities of the population are associated with one or more fraudulent activities related to identity theft.
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Accused Products
Abstract
Embodiments of the disclosed technology include systems and methods for identifying one or more entities associated with activities. In an example implementation, a method includes determining one or more geographical regions proximate to the plurality of locations associated with the one or more activities; determining connections between one or more identities of a population and a plurality of related entities associated with the one or more identities; determining geographical information associated with related entities; weighting one or more metrics for each of the identities based on the geographical information associated with the related entities and the or more geographical regions proximate to the plurality of locations associated with the one or more activities; scoring the one or more weighted metrics; and providing, based on the scoring, an indication of a likelihood that the one or more identities of the population are associated with the one or more activities.
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Citations
20 Claims
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1. A computer-implemented method for identifying one or more entities associated with one or more fraudulent activities, the method comprising:
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determining, by at least one processor configured to access at least one online network, and from a plurality of locations associated with one or more online activities, one or more geographical regions proximate to the plurality of locations; determining, from a system graph and by the at least one processor, connections between one or more identities of a population and a plurality of related entities associated with the one or more identities, wherein the connections are determined based on common relations in the system graph; determining geographical information associated with the plurality of related entities; determining one or more physical addresses associated with one or more incidents of identity theft; weighting, by the at least one processor, one or more metrics for at least a portion of the one or more identities of the population based at least in part on the geographical information associated with the plurality of related entities and the one or more geographical regions proximate to the plurality of locations associated with the one or more activities, wherein the weighting the one or more metrics comprises applying a measure of common connections between the one or more identities and the plurality of related entities based on a distance between the geographical regions proximate to the plurality of locations associated with the one or more activities and the one or more physical addresses associated with one or more incidents of identity theft; and outputting, based on the weighting, an indication of a likelihood that the one or more identities of the population are associated with one or more fraudulent activities related to identity theft. - View Dependent Claims (2, 3, 4, 5, 6, 7)
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8. A system comprising:
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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 at least one online network, and further configured to execute the computer-executable instructions to; determine, from a plurality of locations associated with one or more online activities, one or more geographical regions proximate to the plurality of locations; determine, from a system graph, and by the at least one processor, connections between one or more identities of a population and a plurality of related entities associated with the one or more identities, wherein the connections are determined based on common relations in the system graph; determine geographical information associated with the plurality of related entities; determine one or more physical addresses associated with one or more incidents of identity theft; weight, with the at least one processor, one or more metrics for at least a portion of the one or more identities of the population based at least in part on the geographical information associated with the plurality of related entities and the one or more geographical regions proximate to the plurality of locations associated with the one or more activities, wherein the weighting the one or more metrics comprises applying a measure of common connections between the one or more identities and the plurality of related entities based on a distance between the geographical regions proximate to the plurality of locations associated with the one or more activities and the one or more physical addresses associated with one or more incidents of identity theft; and output, based on the weighting, an indication of a likelihood that the one or more identities of the population are associated with one or more fraudulent activities related to identity theft. - View Dependent Claims (9, 10, 11, 12, 13, 14)
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15. A non-transitory computer-readable medium that stores instructions which, when executed by at least one processor in a system, cause the system to perform a method comprising:
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determining, by at least one processor configured to access at least one online network, and from a plurality of locations associated with one or more online activities, one or more geographical regions proximate to the plurality of locations; determining, from a system graph and by the at least one processor, connections between one or more identities of a population and a plurality of related entities associated with the one or more identities, wherein the connections are determined based on common relations in the system graph; determining geographical information associated with the plurality of related entities; determining one or more physical addresses associated with one or more incidents of identity theft; weighting, by the at least one processor, one or more metrics for at least a portion of the one or more identities of the population based at least in part on the geographical information associated with the plurality of related entities and the one or more geographical regions proximate to the plurality of locations associated with the one or more activities, wherein the weighting the one or more metrics comprises applying a measure of common connections between the one or more identities and the plurality of related entities based on a distance between the geographical regions proximate to the plurality of locations associated with the one or more activities and the one or more physical addresses associated with one or more incidents of identity theft; and outputting, based on the weighting, an indication of a likelihood that the one or more identities of the population are associated with one or more fraudulent activities related to identity theft. - View Dependent Claims (16, 17, 18, 19, 20)
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Specification