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Volumn , Issue AISC, 2005, Pages 977-986

ANTIDS: Self organized ant-based clustering model for intrusion detection system

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Indexed keywords


EID: 74049129143     PISSN: 16153871     EISSN: 18600794     Source Type: Book Series    
DOI: 10.1007/3-540-32391-0_101     Document Type: Conference Paper
Times cited : (29)

References (22)
  • 1
    • 24944543528 scopus 로고    scopus 로고
    • Evolutionary computation in intelligent web management
    • Ghosh A. et al. (Eds.), Studies in Fuzziness and Soft Computing, Springer Verlag Germany
    • Abraham A., "Evolutionary Computation in Intelligent Web Management", Evolutionary Computing in Data Mining, Ghosh A. et al. (Eds.), Studies in Fuzziness and Soft Computing, Springer Verlag Germany, pp. 189-210, 2004.
    • (2004) Evolutionary Computing in Data Mining , pp. 189-210
    • Abraham, A.1
  • 2
    • 0142253852 scopus 로고    scopus 로고
    • Adam: A test bed for exploring the use of data mining in intrusion detection
    • Barbara D., Couto J., Jajodia S. and Wu N., ADAM: A Test bed for Exploring the Use of Data Mining in Intrusion Detection, SIGMOD Record, 30(4), pp. 15-24, 2001.
    • (2001) SIGMOD Record , vol.30 , Issue.4 , pp. 15-24
    • Barbara, D.1    Couto, J.2    Jajodia, S.3    Wu, N.4
  • 11
    • 84878782843 scopus 로고    scopus 로고
    • Self-organizing architecture for intrusion detection and response systems
    • Geneva
    • Foukia,N., Di-Marzo, G., "Self-Organizing Architecture for Intrusion Detection and Response Systems", in Proc. ofHP-OVUA 2003 Workshop, Geneva, 2003.
    • (2003) Proc. of HP-OVUA 2003 Workshop
    • Foukia, N.1    Di-Marzo, G.2
  • 17
    • 84957690734 scopus 로고    scopus 로고
    • On improving clustering in numerical databases with artificial ants
    • Monmarche N. et al, On Improving Clustering in Numerical Databases with Artificial Ants", in ECAL'99 Proc. - European Conf. on Artificial Life, pp. 626-635, 1999.
    • (1999) ECAL'99 Proc. - European Conf. on Artificial Life , pp. 626-635
    • Monmarche, N.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.