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Volumn 4705 LNCS, Issue PART 1, 2007, Pages 512-524

Feature selection using rough-DPSO in anomaly intrusion detection

Author keywords

Feature selection; Intrusion detection; Particle swarm optimization; Rough set

Indexed keywords

FEATURE EXTRACTION; PACKET NETWORKS; ROUGH SET THEORY;

EID: 38049026782     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-74472-6_42     Document Type: Conference Paper
Times cited : (40)

References (33)
  • 2
    • 6344260530 scopus 로고    scopus 로고
    • The Research and Implementation of Intelligent Intrusion Detection System Based on Artificial Neural Network
    • IEEE Computer Society Press, Los Alamitos
    • Li, J., Zhang, G.Y., Gu, G.C.: The Research and Implementation of Intelligent Intrusion Detection System Based on Artificial Neural Network. In: IEEE Proceedings of the 3rd. International Conference on Machine Learning and Cybernetics, pp. 3178-3182. IEEE Computer Society Press, Los Alamitos (2004)
    • (2004) IEEE Proceedings of the 3rd. International Conference on Machine Learning and Cybernetics , pp. 3178-3182
    • Li, J.1    Zhang, G.Y.2    Gu, G.C.3
  • 3
    • 15944375471 scopus 로고    scopus 로고
    • Intrusion Detection using Hierarchical Neural Networks
    • Zhang, C., Jiang, J., Kamel, M.: Intrusion Detection using Hierarchical Neural Networks. Pattern Recognition Letters 26, 779-791 (2005)
    • (2005) Pattern Recognition Letters , vol.26 , pp. 779-791
    • Zhang, C.1    Jiang, J.2    Kamel, M.3
  • 4
    • 26944437843 scopus 로고    scopus 로고
    • Xu, X., Wang, X.: An Adaptive Network Intrusion Detection Method Based on PCA and Support Vector Machines. In: Li, X., Wang, S., Dong, Z.Y. (eds.) ADMA 2005. LNCS (LNAI), 3584, pp. 696-703. Springer, Heidelberg (2005)
    • Xu, X., Wang, X.: An Adaptive Network Intrusion Detection Method Based on PCA and Support Vector Machines. In: Li, X., Wang, S., Dong, Z.Y. (eds.) ADMA 2005. LNCS (LNAI), vol. 3584, pp. 696-703. Springer, Heidelberg (2005)
  • 5
    • 26844444313 scopus 로고    scopus 로고
    • Gao, H., Yang, H., Wang, X.: Kernel PCA Based Network Intrusion Feature Extraction and Detection Using SVM. In: Wang, L., Chen, K., Ong, Y.S. (eds.) ICNC 2005. LNCS, 3611, pp. 89-94. Springer, Heidelberg (2005)
    • Gao, H., Yang, H., Wang, X.: Kernel PCA Based Network Intrusion Feature Extraction and Detection Using SVM. In: Wang, L., Chen, K., Ong, Y.S. (eds.) ICNC 2005. LNCS, vol. 3611, pp. 89-94. Springer, Heidelberg (2005)
  • 6
    • 19944364877 scopus 로고    scopus 로고
    • Feature Deduction and Ensemble Design of Intrusion Detection Systems
    • Chebrolu, S., Abraham, A., Thomas, J.P.: Feature Deduction and Ensemble Design of Intrusion Detection Systems. Journal of Computers and Security 24(4), 295-307 (2005)
    • (2005) Journal of Computers and Security , vol.24 , Issue.4 , pp. 295-307
    • Chebrolu, S.1    Abraham, A.2    Thomas, J.P.3
  • 7
    • 24944552355 scopus 로고    scopus 로고
    • Chen, Y., Abraham, A., Yang, J.: Feature Selection and Intrusion Detection Using Hybrid Flexible Neural Tree. In: Wang, J., Liao, X.-F., Yi, Z. (eds.) ISNN 2005. LNCS, 3498, pp. 439-444. Springer, Heidelberg (2005)
    • Chen, Y., Abraham, A., Yang, J.: Feature Selection and Intrusion Detection Using Hybrid Flexible Neural Tree. In: Wang, J., Liao, X.-F., Yi, Z. (eds.) ISNN 2005. LNCS, vol. 3498, pp. 439-444. Springer, Heidelberg (2005)
  • 8
    • 33750331605 scopus 로고    scopus 로고
    • Feature Selection and Classification Using Hybrid Flexible Neural Tree
    • Chen, Y., Abraham, A., Yang, J.: Feature Selection and Classification Using Hybrid Flexible Neural Tree. Journal of Neurocomputing 7, 305-313 (2006)
    • (2006) Journal of Neurocomputing , vol.7 , pp. 305-313
    • Chen, Y.1    Abraham, A.2    Yang, J.3
  • 9
    • 12744257704 scopus 로고    scopus 로고
    • Particle Swarm Optimization. Feature Article
    • Shi, Y.: Particle Swarm Optimization. Feature Article, IEEE Neural Networks Society, 8-12 (2004)
    • (2004) IEEE Neural Networks Society , pp. 8-12
    • Shi, Y.1
  • 11
    • 0031674071 scopus 로고    scopus 로고
    • Matching Algorithms to Problems: An Experimental Test of the Particle Swarm and Some Genetic Algorithms on the Multimodal Problem Generator
    • Kennedy, J., Spears, W.M.: Matching Algorithms to Problems: An Experimental Test of the Particle Swarm and Some Genetic Algorithms on the Multimodal Problem Generator. In: Proceedings of International Conference on Evolutionary Computation, pp. 78-83 (1998)
    • (1998) Proceedings of International Conference on Evolutionary Computation , pp. 78-83
    • Kennedy, J.1    Spears, W.M.2
  • 14
    • 9644262464 scopus 로고    scopus 로고
    • Fuzzy-rough Data Reduction with Ant Colony Optimization
    • Jensen, R., Shen, Q.: Fuzzy-rough Data Reduction with Ant Colony Optimization. Journal of Fussy Sets and Systems 149, 5-20 (2005)
    • (2005) Journal of Fussy Sets and Systems , vol.149 , pp. 5-20
    • Jensen, R.1    Shen, Q.2
  • 16
    • 33947265693 scopus 로고    scopus 로고
    • Sung, A.H., Mukkamala, S.: The Feature Selection and Intrusion Detection Problems. In: Maher, M.J. (ed.) ASIAN 2004. LNCS, 3321, pp. 468-482. Springer, Heidelberg (2004)
    • Sung, A.H., Mukkamala, S.: The Feature Selection and Intrusion Detection Problems. In: Maher, M.J. (ed.) ASIAN 2004. LNCS, vol.3321, pp. 468-482. Springer, Heidelberg (2004)
  • 17
    • 0037332841 scopus 로고    scopus 로고
    • Rough set Methods in Feature Selection and Recognition
    • Swiniarski, R.W., Skowron, A.: Rough set Methods in Feature Selection and Recognition. Pattern Recognition Letters 24, 833-849 (2003)
    • (2003) Pattern Recognition Letters , vol.24 , pp. 833-849
    • Swiniarski, R.W.1    Skowron, A.2
  • 18
    • 84957806432 scopus 로고    scopus 로고
    • Feature Subset Selection by Neuro-rough Hybridization
    • Springer, Heidelberg
    • Chakraborty, B.: Feature Subset Selection by Neuro-rough Hybridization. LNCS, pp. 519-526. Springer, Heidelberg (2005)
    • (2005) LNCS , pp. 519-526
    • Chakraborty, B.1
  • 21
    • 84886409746 scopus 로고    scopus 로고
    • Sung, W.S., Chi, H.L.: Using Attack-Specific Feature Subsets for Network Intrusion Detcetion. In: Sattar, A., Kang, B.-H. (eds.) AI 2006. LNCS (LNAI), 4304, pp. 305-311. Springer, Heidelberg (2006)
    • Sung, W.S., Chi, H.L.: Using Attack-Specific Feature Subsets for Network Intrusion Detcetion. In: Sattar, A., Kang, B.-H. (eds.) AI 2006. LNCS (LNAI), vol. 4304, pp. 305-311. Springer, Heidelberg (2006)
  • 22
    • 33845523839 scopus 로고    scopus 로고
    • Feature Selection based on Rough Sets and Particle Swarm Optimization
    • Wang, X., Yang, J., Teng, X., Xia, W., Jensen, R.: Feature Selection based on Rough Sets and Particle Swarm Optimization. Pattern Recognition Letters 28(4), 459-471 (2007)
    • (2007) Pattern Recognition Letters , vol.28 , Issue.4 , pp. 459-471
    • Wang, X.1    Yang, J.2    Teng, X.3    Xia, W.4    Jensen, R.5
  • 23
    • 35048875338 scopus 로고    scopus 로고
    • Liu, Y., Qin, Z., Xu, Z., He, X.: Feature Selection with Particle Swarms. In: Aizawa, K., Nakamura, Y., Satoh, S. (eds.) PCM 2004. LNCS, 3331, pp. 425-430. Springer, Heidelberg (2004)
    • Liu, Y., Qin, Z., Xu, Z., He, X.: Feature Selection with Particle Swarms. In: Aizawa, K., Nakamura, Y., Satoh, S. (eds.) PCM 2004. LNCS, vol. 3331, pp. 425-430. Springer, Heidelberg (2004)
  • 24
    • 26844497648 scopus 로고    scopus 로고
    • Wang, L., Yu, J.: Fault Feature Selection Based on Modified Binary PSO with Mutation and Its Application in Chemical Process Fault Diagnosis. In: Wang, L., Chen, K., Ong, Y.S. (eds.) ICNC 2005. LNCS, 3612, pp. 832-840. Springer, Heidelberg (2005)
    • Wang, L., Yu, J.: Fault Feature Selection Based on Modified Binary PSO with Mutation and Its Application in Chemical Process Fault Diagnosis. In: Wang, L., Chen, K., Ong, Y.S. (eds.) ICNC 2005. LNCS, vol. 3612, pp. 832-840. Springer, Heidelberg (2005)
  • 25
    • 0004222346 scopus 로고    scopus 로고
    • Morgan Kaufmann Publishers, San Francisco, United States
    • Kennedy, J., Eberhart, R.: Swarm Intelligence. Morgan Kaufmann Publishers, San Francisco, United States (2001)
    • (2001) Swarm Intelligence
    • Kennedy, J.1    Eberhart, R.2
  • 28
    • 33646005796 scopus 로고    scopus 로고
    • Lee, H., Song, J., Park, D.: Intrusion Detection System based on Multiclass SVM. In: Ślȩzak, D., Yao, J., Peters, J.F., Ziarko, W., Hu, X. (eds.) RSFDGrC 2005. LNCS (LNAI), 3642, pp. 511-519. Springer, Heidelberg (2005)
    • Lee, H., Song, J., Park, D.: Intrusion Detection System based on Multiclass SVM. In: Ślȩzak, D., Yao, J., Peters, J.F., Ziarko, W., Hu, X. (eds.) RSFDGrC 2005. LNCS (LNAI), vol. 3642, pp. 511-519. Springer, Heidelberg (2005)
  • 29
    • 26944437843 scopus 로고    scopus 로고
    • Xu, X., Wang, X.: An Adaptive Network Intrusion Detection Method Based on PCA and Support Vector Machines. In: Li, X., Wang, S., Dong, Z.Y. (eds.) ADMA 2005. LNCS (LNAI), 3584, pp. 696-703. Springer, Heidelberg (2005)
    • Xu, X., Wang, X.: An Adaptive Network Intrusion Detection Method Based on PCA and Support Vector Machines. In: Li, X., Wang, S., Dong, Z.Y. (eds.) ADMA 2005. LNCS (LNAI), vol. 3584, pp. 696-703. Springer, Heidelberg (2005)
  • 30
    • 27144489164 scopus 로고    scopus 로고
    • A tutorial on Support Vector Machines for Pattern Recognition
    • Burges, C.: A tutorial on Support Vector Machines for Pattern Recognition. Journal of Data Mining and Knowledge Discovery 2, 121-167 (1998)
    • (1998) Journal of Data Mining and Knowledge Discovery , vol.2 , pp. 121-167
    • Burges, C.1
  • 32
    • 38049031792 scopus 로고    scopus 로고
    • Chih, C., Chih, J.: LIBSVM : A library for support vector machines. Tutorial and software (2001), available at http://www.csie.ntu.edu.tw/cjlin/ libsvm
    • Chih, C., Chih, J.: LIBSVM : A library for support vector machines. Tutorial and software (2001), available at http://www.csie.ntu.edu.tw/cjlin/ libsvm
  • 33
    • 0004113716 scopus 로고    scopus 로고
    • Department of Computer and Information Science, Norwegian University of Science and Technology NTNU, Trondheim, Norway, pp
    • Øhrn, A.: Technical Reference Manual, Department of Computer and Information Science, Norwegian University of Science and Technology (NTNU), Trondheim, Norway, pp. 1-66 (2000), http://rosetta.lcb.uu.se/general/resources/ manual.pdf
    • (2000) Technical Reference Manual , pp. 1-66
    • Øhrn, A.1


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