Developing an Ontology for Individual and Organizational Sociotechnical Indicators of Insider Threat Risk

نویسندگان

  • Frank L. Greitzer
  • Muhammad Imran
  • Justin Purl
  • Elise T. Axelrad
  • Yung Mei Leong
  • D. E. Becker
  • Kathryn B. Laskey
  • Paul J. Sticha
چکیده

Human behavioral factors are fundamental to understanding, detecting and mitigating insider threats, but to date insufficiently represented in a formal ontology. We report on the design and development of an ontology that emphasizes individual and organizational sociotechnical factors, and incorporates technical indicators from previous work. We compare our ontology with previous research and describe use cases to demonstrate how the ontology may be applied. Our work advances current efforts toward development of a comprehensive knowledge base to support advanced reasoning for insider threat mitigation. Keywords— insider threat; sociotechnical indicators ontology; domain knowledge representation; SME knowledge modeling; human behavioral modeling; domain knowledge sharing

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تاریخ انتشار 2016