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A traceability link mining approach for identifying insider threats

Published:13 April 2009Publication History

ABSTRACT

In this paper, we present an insider attack detection model that is designed to profile traceability links based on document dependencies and calendar-based file usage patterns for detecting insider threats. This model is utilized to detect insiders' malicious activities targeted at tampering the contents of files for various purposes. We apply the concept of traceability links in the software engineering field to this research. Our approach mainly employs document dependency traceability links for constructing insider attack detection model.

References

  1. G. Spanoudakis and A. Zisman, Software Traceability: A Roadmap, in Handbook of Software Engineering and Knowledge Engineering, Chang, S. K., Ed. World Scientific Publishing Co, 2005, pp. 395--428.Google ScholarGoogle Scholar
  2. Y. Li, P. Ning, X. Wang, and S. Jajodia, Discovering Calendar-based Temporal Association rules, In Proc. of the 8th Int'l Symposium on Temporal Representation and Reasoning, 2001. Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. E. Cole and S. Ring. Insider Threat: Protecting the Enterprise from Sabotage, Spying, and Theft, 1 edition. Syngress, December 1, 2005.Google ScholarGoogle Scholar

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  1. A traceability link mining approach for identifying insider threats

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        cover image ACM Other conferences
        CSIIRW '09: Proceedings of the 5th Annual Workshop on Cyber Security and Information Intelligence Research: Cyber Security and Information Intelligence Challenges and Strategies
        April 2009
        952 pages
        ISBN:9781605585185
        DOI:10.1145/1558607

        Copyright © 2009 ACM

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        Association for Computing Machinery

        New York, NY, United States

        Publication History

        • Published: 13 April 2009

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