Intrusion Detection Algorithm Based on Hybrid Gene Expression Programming
DENG Song 1, 2, LIN Wei-min 1, 2, ZHANG Tao 1, 2
1.Institute of Information Technology & Communication, State Grid Electric Power Research Institute, Nanjing, 210003, China;2.Information Network Security Key Laboratory, State Grid Corporation of China, Nanjing 210003, China
Received 2011-4-13 RevisedOnlineAccepted
Abstract This paper proposes Intrusion Detection Based on Hybrid Gene Expression Programming (ID-HGEP), which combines the theory of attribution reduction in rough set to improve precision and efficiency on intrusion detection. Through extensive experiments on high dimension data sets, it is shown that ID-HGEP is apparently more advantageous in terms of convergence speed, intrusion detection efficiency and average consumptive time in contrast with traditional intrusion detection algorithm on GEP.
Key wordsintrusion detection rough set attribution reduction gene expression programming
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