Using both social media and non-social media information to identify anomalous behavior

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United States of America Patent

PATENT NO 10163098
APP PUB NO 20140229376A1
SERIAL NO

13765851

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Abstract

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A method, system and computer program product for identifying anomalous behavior (e.g., suspicious transactions). Information from at least one social media source (e.g., a posting) and from at least one non-social media source (e.g., a booking) are monitored. A transaction (e.g., credit card transaction) involving a user is identified. The monitored information is then analyzed to identify one or more characteristics (e.g., location of the user) of the user. A rating of invalidity of the transaction is generated based on the one or more characteristics, where the rating of invalidity refers to the likelihood that the transaction is likely to be anomaly, such as a suspicious transaction. If the rating exceeds a threshold, then an anomaly may be said to have occurred. By identifying anomalous behavior using both social media and non-social media sources, anomalous activities that truly occurred will be more accurately detected.

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Patent Owner(s)

  • INTERNATIONAL BUSINESS MACHINE CORPORATION

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Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Kaminsky, David L Chapel Hill, US 123 2861
Sundaram, Girish Pune, IN 16 92

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