Intrusion detection using the chi-square goodness-of-fit test for information assurance, network, forensics and software security

Authors:
Rohitha Goonatilake;Ajantha Herath;Suvineetha Herath;Susantha Herath;Jayantha Herath
Affiliations:
Texas A&M International University, TX;Richard Stockton State College of New Jersey, NJ;Richard Stockton State College of New Jersey, NJ;St. Cloud State University, MN;St. Cloud State University, MN
Venue:
Journal of Computing Sciences in Colleges - Papers of the Fourteenth Annual CCSC Midwestern Conference and Papers of the Sixteenth Annual CCSC Rocky Mountain Conference
Year:
2007

Citing 3
Cited 2

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Abstract

This paper describes a course module developed to help computer security students understand a use of the X2-, chi-square, goodness-of-fit test to detect possible intrusions. Detecting intrusions not only provides feedback to help design, but also to implement prevention techniques to harden information systems. As statistical or mathematical techniques can identify intrusions, there is a need to introduce these statistical concepts to students in information assurance, network, forensics and software security courses as they attempt to understand intrusions and plan possible responses.