Intrusion Detection Algorithm Based on Hybrid Gene Expression Programming

doi:10.3969/j.issn.1006-2475.2011.09.010

Computer and Modernization ›› 2011, Vol. 193 ›› Issue (9): 33-35,3.doi: 10.3969/j.issn.1006-2475.2011.09.010

• 算法设计与分析 • Previous Articles Next Articles

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:2011-04-13 Revised:1900-01-01 Online:2011-09-22 Published:2011-09-22

Abstract

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 words: intrusion detection, rough set, attribution reduction, gene expression programming

CLC Number:

TP301.6

DENG Song;LIN Wei-min;ZHANG Tao;. Intrusion Detection Algorithm Based on Hybrid Gene Expression Programming[J]. Computer and Modernization, 2011, 193(9): 33-35,3.

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Intrusion Detection Algorithm Based on Hybrid Gene Expression Programming

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