An evolutionary programming approach for detecting novel computer network attacks

Authors:
K. P. Anchor;G. B. Lamont;G. H. Gunsch
Affiliations:
Dept. of Electr. & Comput. Eng., Air Force Inst. of Technol., Dayton, OH, USA;Dept. of Electr. & Comput. Eng., Air Force Inst. of Technol., Dayton, OH, USA;Dept. of Electr. & Comput. Eng., Air Force Inst. of Technol., Dayton, OH, 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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Different multi-objective evolutionary programming approaches for detecting computer network attacks

EMO'03 Proceedings of the 2nd international conference on Evolutionary multi-criterion optimization

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Abstract

Attacks against computer networks are becoming more sophisticated, with adversaries using new attacks or modifying exiting attacks. This research presents an initial step in using an evolutionary programming approach to develop a system for automatically detecting attacks with features similar to known attacks. Initial testing shows the algorithm performs satisfactorily.