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System and method to detect attacks on mobile wireless networks based on network controllability analysis

  • US 10,091,218 B2
  • Filed: 03/18/2016
  • Issued: 10/02/2018
  • Est. Priority Date: 01/23/2012
  • Status: Active Grant
First Claim
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1. A system for detecting and mitigating attacks of misinformation on communication networks, the system comprising:

  • one or more processors and a non-transitory memory having instructions encoded thereon such that when the instructions are executed, the one or more processors perform operations of;

    computing a plurality of network controllability metrics on a representation of a communication network comprising a plurality of nodes;

    detecting changes in the plurality of network controllability metrics;

    using the detected changes to detect an attack of misinformation on the communication network, wherein given a set of examples of network controllability metric data representing a baseline behavior and a set of examples of network controllability metric data representing an attack behavior, a machine learning classifier determines a threshold for attack detection based on differences between the baseline behavior and the attack behavior;

    attributing the attack to an attacking node in the communication network; and

    performing a mitigation action that isolates the attacking node from the communication network.

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