Feature selection of intrusion detection data using a hybrid genetic algorithm/KNN approach
作者： Melanie Middlemiss , Grant Dick
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摘要: Feature selection is an important part of the information processing and system development process. The appropriate set features can provide insight into underlying processes present in data greatly improve accuracy overall classification model. In this paper we investigate use a hybrid genetic algorithm/k-nearest neighbour approach to apply intrusion detection set. We have found that feature process able identify are for identifying different types attacks the, leading improved accuracy.
acm.org 参考文章(14)
William F. Punch, Richard J. Enbody, Paul D. Hovland, Min Pei, Erik D. Goodman, Lai Chia-Shun, Further Research on Feature Selection and Classification Using Genetic Algorithms international conference on genetic algorithms. pp. 557- 564 ,(1993)
Yihua Liao, V. Rao Vemuri, Using Text Categorization Techniques for Intrusion Detection usenix security symposium. pp. 51- 59 ,(2002)
Zhijian Huang, Min Pei, Erik Goodman, Yong Huang, Gaoping Li, Genetic algorithm optimized feature transformation: a comparison with different classifiers genetic and evolutionary computation conference. pp. 2121- 2133 ,(2003) , 10.1007/3-540-45110-2_108
Belur V. Dasarathy, Nearest neighbor (NN) norms: NN pattern classification techniques Los Alamitos: IEEE Computer Society Press. ,(1991)
James D. Kelly, Lawrence Davis, A hybrid genetic algorithm for classification international joint conference on artificial intelligence. pp. 645- 650 ,(1991)
Wenke Lee, S.J. Stolfo, K.W. Mok, A data mining framework for building intrusion detection models ieee symposium on security and privacy. pp. 120- 132 ,(1999) , 10.1109/SECPRI.1999.766909
Yihua Liao, V.Rao Vemuri, Use of K-Nearest Neighbor classifier for intrusion detection11An earlier version of this paper is to appear in the Proceedings of the 11th USENIX Security Symposium, San Francisco, CA, August 2002 Computers & Security. ,vol. 21, pp. 439- 448 ,(2002) , 10.1016/S0167-4048(02)00514-X
Aurobindo Sundaram, An introduction to intrusion detection ACM Crossroads Student Magazine. ,vol. 2, pp. 3- 7 ,(1996) , 10.1145/332159.332161
M. Prakash, M. Narasimha Murty, A genetic approach for selection of (near-) optimal subsets of principal components for discrimination Pattern Recognition Letters. ,vol. 16, pp. 781- 787 ,(1995) , 10.1016/0167-8655(95)00041-E
M.L. Raymer, W.F. Punch, E.D. Goodman, L.A. Kuhn, A.K. Jain, Dimensionality reduction using genetic algorithms IEEE Transactions on Evolutionary Computation. ,vol. 4, pp. 164- 171 ,(2000) , 10.1109/4235.850656