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Two state-based approaches to program-based anomaly detection

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2 Author(s)
Michael, C.C. ; RST Res. Labs., USA ; Ghosh, A.

This paper describes two intrusion detection algorithms, and gives experimental results on their performance. The algorithms detect anomalies in execution audit data. One is a simply constructed finite-state machine, and the other monitors statistical deviations from normal program behavior. The performance of these algorithms is evaluated as a function of the amount of available training data, and they are compared to the well-known intrusion detection technique of looking for novel n-grams in computer audit data

Published in:

Computer Security Applications, 2000. ACSAC '00. 16th Annual Conference

Date of Conference:

Dec 2000