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Using hypergraphs to determine suspicious user activities

  • US 10,135,788 B1
  • Filed: 10/05/2017
  • Issued: 11/20/2018
  • Est. Priority Date: 02/11/2014
  • Status: Active Grant
First Claim
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1. A method comprising:

  • generating a set of feature profiles, each feature profile having a set of features derived from a profile constructed from an obtained set of correlated events or a set of correlated user accounts;

    generating hypergraphs, wherein the hypergraphs include nodes corresponding to feature profiles and edges between particular nodes representing a measure of similarity between nodes, wherein the measure of similarity between a pair of nodes is based at least in part on a comparison of a plurality of feature values associated with each node of the pair of nodes and weighting the edges based on the comparison; and

    analyzing the generated hypergraphs to detect abnormal graph nodes based on a comparison of the feature profiles of each node and a global feature profile.

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