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Standard metadata model for analyzing events with fraud, attack, or any other malicious background

  • US 9,876,809 B2
  • Filed: 11/10/2015
  • Issued: 01/23/2018
  • Est. Priority Date: 11/10/2015
  • Status: Active Grant
First Claim
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1. A method comprising:

  • storing, by at least one data processor, log data for each of a plurality of computing systems;

    mapping, by at least one data processor, the log data of each computing system to standardized attributes based on metadata entities defined for each of the plurality of computing systems;

    defining, by at least one data processor, a standard metadata model for the plurality of computing systems;

    associating, by at least one data processor, one or more standardized attributes of a first computing system of the plurality of computing systems with one or more standardized attributes of a second computing system of the plurality of computing systems to define connected metadata that connects the one or more standardized attributes of the first computing system and the one or more standardized attributes of the second computing system;

    storing, by at least one data processor, the connected metadata in a central repository accessible by each of the plurality of computing systems;

    for a selected access event to the first computing system, the selected access event generating the log data related to the first computing system, searching, by at least one data processor, the standardized attributes associated with the log data of at least the second of the plurality of computing systems via the connected metadata stored in the central repository; and

    analyzing, by at least one data processor, a first graphical representation of one or more results of the searching.

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