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Online Behavioral Analysis and Modeling Methodology (OBAMM)

  • David J. Robinson
  • Vincent H. Berk
  • George V. Cybenko

Abstract

This paper introduces a novel method of tracking user computer behavior to create highly granular profiles of usage patterns. These profiles, then, are used to detect deviations in a users’ online behavior, detecting intrusions, malicious insiders, misallocation of resources, and out-of-band business processes. Successful detection of these behaviors significantly reduces the risk of leaking sensitive data, or inadvertently exposing critical assets.

Keywords

Business Process Recommender System User Profile Computer Security Business Process Modeling 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media, LLC 2008

Authors and Affiliations

  • David J. Robinson
    • 1
  • Vincent H. Berk
    • 1
  • George V. Cybenko
    • 1
  1. 1.Thayer School of Engineering at Dartmouth CollegeHanover

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