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Volumn , Issue , 2007, Pages 834-839

A novel soft computing model using adaptive neuro-fuzzy inference system for intrusion detection

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER CRIME; DECISION MAKING; FUZZY INFERENCE; GENETIC ALGORITHMS; SOFT COMPUTING;

EID: 34748892899     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICNSC.2007.372889     Document Type: Conference Paper
Times cited : (12)

References (15)
  • 1
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    • S. Axelsson, "Intrusion detection systems: A survey and taxonomy," Department of Computer Engineering, Chalmers University, Tech. Rep, 99-15, 2000.
    • (2000) Tech. Rep , vol.99 -15
    • Axelsson, S.1
  • 2
    • 21044433766 scopus 로고    scopus 로고
    • Training Genetic Programming on Half a Million Patterns: An Example from Anomaly Detection
    • D, Song, M.I, Heywood, A.N. Zinoir-HeyWood, Training Genetic Programming on Half a Million Patterns: An Example from Anomaly Detection. IEEE Transactions on Evolutionary Computation, 9(3), 225-239, 2005.
    • (2005) IEEE Transactions on Evolutionary Computation , vol.9 , Issue.3 , pp. 225-239
    • Song, D.1    Heywood, M.I.2    Zinoir-HeyWood, A.N.3
  • 4
    • 3042595031 scopus 로고    scopus 로고
    • K. Shah,: N. Dave, S. Chavan, S. Mukherjeej A, Abraham and S. Sanyal, Adaptive Neuro-Fuzzy Intrusion Deteotion System, in Proceeding of IEEE International Conference on Information Technology: Coding and Computing (ITCC 04), USA, 5-7 April 2004, IEEE Computer Sooiety, 1, 70-74, 2004.
    • K. Shah,: N. Dave, S. Chavan, S. Mukherjeej A, Abraham and S. Sanyal, "Adaptive Neuro-Fuzzy Intrusion Deteotion System," in Proceeding of IEEE International Conference on Information Technology: Coding and Computing (ITCC 04), USA, 5-7 April 2004, IEEE Computer Sooiety, Vol. 1, 70-74, 2004.
  • 5
    • 0035792373 scopus 로고    scopus 로고
    • J. E. Diokerson, J. Juslin, O. Koukousoula,J. A. Diokerson, Fuzzy Intrusion Deteotion, in proceeding of IFSA World Congress and 20th North American Fuzzy Information Processing Society (NAFIPS) International Conference. North American Fuzzy Information Processing Sooiety (NAFlPS), Vancouver, Canada, 25-28 July 2001, IEEE Computer Society, 3, 1506-1510, 2001.
    • J. E. Diokerson, J. Juslin, O. Koukousoula,J. A. Diokerson, "Fuzzy Intrusion Deteotion," in proceeding of IFSA World Congress and 20th North American Fuzzy Information Processing Society (NAFIPS) International Conference. North American Fuzzy Information Processing Sooiety (NAFlPS), Vancouver, Canada, 25-28 July 2001, IEEE Computer Society, Vol. 3, 1506-1510, 2001.
  • 7
    • 0027601884 scopus 로고    scopus 로고
    • J,-S. R. Jang, ANFIS: Adaptive-Network-based Fuzzy Inference Systems, IEEE Transactions on Systems, Man, and Cybernetics, 23(3), 665-685, 1993.
    • J,-S. R. Jang, ANFIS: Adaptive-Network-based Fuzzy Inference Systems, IEEE Transactions on Systems, Man, and Cybernetics, 23(3), 665-685, 1993.
  • 8
    • 34748897924 scopus 로고    scopus 로고
    • DARPA Intrusion Detection Evaluation: http://www.ll.mit.edu/SSt/ ideval/result/re3ult index, html.
    • DARPA Intrusion Detection Evaluation: http://www.ll.mit.edu/SSt/ ideval/result/re3ult index, html.
  • 10
    • 0347606556 scopus 로고    scopus 로고
    • Winning the KDD99 Classification Cup: Bagged Boosting
    • Pfahringer B., Winning the KDD99 Classification Cup: Bagged Boosting. SIGKDD explorations, ,1(2), 65-66, 2000.
    • (2000) SIGKDD explorations , vol.1 , Issue.2 , pp. 65-66
    • Pfahringer, B.1
  • 11
    • 1642354876 scopus 로고    scopus 로고
    • KDD-99 Classifier Learning Contest LLSoft'S Results Overview
    • I. Levin, KDD-99 Classifier Learning Contest LLSoft'S Results Overview. SIGKDD Explorations, ACMSIGKDD, 1(2) 67-75, 2000.
    • (2000) SIGKDD Explorations, ACMSIGKDD , vol.1 , Issue.2 , pp. 67-75
    • Levin, I.1
  • 12
    • 34748915939 scopus 로고    scopus 로고
    • R. Agarwal, M. V. Joshi, 2000. PNrule: A New Framework for Learning olassifier Models in Data Mining, Department of Computer Science, University of Minnesota, Report.No. RC-21719.
    • R. Agarwal, M. V. Joshi, ,2000. "PNrule: A New Framework for Learning olassifier Models in Data Mining," Department of Computer Science, University of Minnesota, Report.No. RC-21719.
  • 15
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    • Why machine learning algorithms fail in misuse detection on KDD intrusion detection data set
    • M. R. Sabhnani, G. Serpen, Why machine learning algorithms fail in misuse detection on KDD intrusion detection data set, Journal of Intelligent Data Analysts, 8(4), 403-415, 2004.
    • (2004) Journal of Intelligent Data Analysts , vol.8 , Issue.4 , pp. 403-415
    • Sabhnani, M.R.1    Serpen, G.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.