Revisiting LISYS: parameters and normal behavior

Authors:
J. Balthrop;S. Forrest;M. R. Glickman
Affiliations:
Dept. of Comput. Sci., New Mexico Univ., Albuquerque, NM, USA;Dept. of Comput. Sci., New Mexico Univ., Albuquerque, NM, USA;Dept. of Comput. Sci., New Mexico Univ., Albuquerque, NM, USA
Venue:
CEC '02 Proceedings of the Evolutionary Computation on 2002. CEC '02. Proceedings of the 2002 Congress - Volume 02
Year:
2002

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Abstract

This paper studies a simplified form of LISYS, an artificial immune system for network intrusion detection. The paper describes results based on a new, more controlled data set than that used for earlier studies. The paper also looks at which parameters appear most important for minimizing false positives, as well as the trade-offs and relationships among parameter settings.