• Patent Title: System and method for anomaly detection in dynamically evolving data using random neural network decomposition
  • Application No.: US16458096
    Application Date: 2019-06-30
  • Publication No.: US10692004B1
    Publication Date: 2020-06-23
  • Inventor: David Segev
  • Applicant: ThetaRay Ltd
  • Applicant Address: IL Hod HaSharon
  • Assignee: ThetaRay Ltd.
  • Current Assignee: ThetaRay Ltd.
  • Current Assignee Address: IL Hod HaSharon
  • Agency: Nathan & Associates
  • Agent Menachem Nathan
  • Main IPC: G06N3/08
  • IPC: G06N3/08 G06F11/07
System and method for anomaly detection in dynamically evolving data using random neural network decomposition
Abstract:
Detection systems, methods and computer program products comprising a non-transitory tangible storage medium readable by a processing circuit and storing instructions for execution by the processing circuit for performing a method for anomaly detection, a detected anomaly being indicative of an undesirable event. A detection system comprises a computer and an anomaly detection engine executable by the computer, the anomaly detection engine configured to perform a method comprising receiving data comprising a plurality m of multidimensional data points (MDDPs), each data point having n features, constructing a dictionary D based on the received data, embedding dictionary D into a lower dimension embedded space and classifying, based in the lower dimension embedded space, a MDDP as an anomaly or as normal.
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