MEPIDS: multi-expression programming for intrusion detection system

Authors:
Crina Groşan;Ajith Abraham;and Sang Yong Han
Affiliations:
,Department of Computer Science, Babeş-Bolyai University, Cluj-Napoca, Romania;School of Computer Science and Engineering, Chung-Ang University, Seoul, South Korea;School of Computer Science and Engineering, Chung-Ang University, Seoul, South Korea
Venue:
IWINAC'05 Proceedings of the First international work-conference on the Interplay Between Natural and Artificial Computation conference on Artificial Intelligence and Knowledge Engineering Applications: a bioinspired approach - Volume Part II
Year:
2005

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Abstract

An Intrusion Detection System (IDS) is a program that analyzes what happens or has happened during an execution and tries to find indications that the computer has been misused. An IDS does not eliminate the use of preventive mechanism but it works as the last defensive mechanism in securing the system. This paper evaluates the performances of Multi-Expression Programming (MEP) to detect intrusions in a network. Results are then compared with Linear Genetic Programming (LGP) approach. Empirical results clearly show that genetic programming could play an important role in designing light weight, real time intrusion detection systems.