Using grammatical evolution for evolving intrusion detection rules

Authors:
Dominic Wilson;Devindar Kaur
Affiliations:
Electrical Engineering and Computer Science, University of Toledo, Toledo, Ohio;Electrical Engineering and Computer Science, University of Toledo, Toledo, Ohio
Venue:
ISP'06 Proceedings of the 5th WSEAS International Conference on Information Security and Privacy
Year:
2006

Citing 4
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Abstract

The use of Grammatical Evolution for automating the intrusion detection rules is investigated in this paper. We apply this method to the KDD99 intrusion dataset and demonstrate its usefulness in this context. We achieve favorable results by evolving rules for classifying both normal and abnormal traffic.