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Method and apparatus for grouping features into bins with selected bin boundaries for use in anomaly detection

  • US 10,154,053 B2
  • Filed: 04/05/2016
  • Issued: 12/11/2018
  • Est. Priority Date: 06/04/2015
  • Status: Active Grant
First Claim
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1. A method comprising:

  • receiving network data at a processor of an analytics device, the network data collected from a plurality of sensors distributed throughout a network to monitor network flows within the network from multiple perspectives in the network;

    processing the network data at the processor of the analytics device, wherein processing comprises;

    identifying features for the network data;

    determining transition points for each of said features in a histogram;

    grouping each of said features into bins of varying width in the histogram, wherein said width defines a range of said features in each of said bins;

    wherein said transition points define bin boundaries in the histogram, said transition points selected based on a probability that data within each of the bins follows a discrete uniform distribution; and

    inputting said binned features into an algorithm for anomaly detection.

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