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Methodology for intelligent pattern detection and anomaly detection in machine to machine communication network

  • US 10,237,290 B2
  • Filed: 06/26/2012
  • Issued: 03/19/2019
  • Est. Priority Date: 06/26/2012
  • Status: Active Grant
First Claim
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1. A method for detecting network performance event data for one or more machine-to-machine (M2M) devices across an M2M network indicative of anomalous network performance, comprising:

  • determining by identification one or more network performance events associated with at least one of the one or more M2M devices to monitor using complex event processing (CEP);

    wherein the one or more M2M devices comprise a processor having limited logic, a sensor and a communications adapter in communication with the M2M network;

    acquiring data of one or more monitored network performance events, wherein the CEP is configured to acquire data as “

    bytes in” and



    bytes out”

    from a data stream that captures the monitored performance event;

    comparing the acquired “

    bytes in” and



    bytes out”

    of the data stream to identify and capture asymmetry; and

    issuing an alert in response to the identified and captured asymmetry.

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