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Collaborative learning for efficient behavioral analysis in networked mobile device

  • US 9,298,494 B2
  • Filed: 03/14/2013
  • Issued: 03/29/2016
  • Est. Priority Date: 05/14/2012
  • Status: Expired due to Fees
First Claim
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1. A method of classifying mobile device behaviors of a mobile device, comprising:

  • monitoring mobile device behaviors in a first mobile device to generate a behavior vector data structure that characterizes a behavior of a software application operating on the first mobile device;

    applying the behavior vector data structure to a first classifier model in the first mobile device to obtain a first determination of a classification of the behavior of the software application operating on the first mobile device;

    sending the behavior vector data structure to a second mobile device, the second mobile device applying the behavior vector data structure received from the first mobile device to a second classifier model to obtain a second determination in the second mobile device of the classification of the behavior of the software application operating on the first mobile device and sending the second determination to the first mobile device;

    collating the first determination and the second determination in the first mobile device to generate collated results; and

    classifying the behavior of the software application operating on the first mobile device based on the collated results.

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