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12th Annual Computer Security Applications Conference (ACSAC '96)
Case-Based Reasoning for Intrusion Detection
San Diego California
December 09-December 13
ISBN: 0-8186-7606-X
M. Esmaili, Dept. of Comput. Sci., Wollongong Univ., NSW, Australia
B. Balachandran, Dept. of Comput. Sci., Wollongong Univ., NSW, Australia
R. Safavi-Naini, Dept. of Comput. Sci., Wollongong Univ., NSW, Australia
J. Pieprzyk, Dept. of Comput. Sci., Wollongong Univ., NSW, Australia
Recently there has been significant interest in applying artificial intelligence (AI) techniques to the intrusion detection problem. Attempts have been made to develop rule based and model based expert systems for intrusion detection. Although these systems have been useful for detecting intruders, they face difficulties in acquiring and representing the knowledge. We present and describe a case based reasoning approach to intrusion detection which alleviates some of the difficulties of current approaches.
Index Terms:
authorisation; intrusion detection; artificial intelligence; model based expert systems; case based reasoning approach
Citation:
M. Esmaili, B. Balachandran, R. Safavi-Naini, J. Pieprzyk, "Case-Based Reasoning for Intrusion Detection," acsac, pp.214, 12th Annual Computer Security Applications Conference (ACSAC '96), 1996
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