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Volumn 4247 LNCS, Issue , 2006, Pages 104-111

Immune multi-agent active defense model for network intrusion

Author keywords

[No Author keywords available]

Indexed keywords

ANTIBODIES; COMPUTER CRIME; DISTRIBUTED COMPUTER SYSTEMS; IMMUNOLOGY; MULTI AGENT SYSTEMS; MULTILAYERS;

EID: 33751362999     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11903697_14     Document Type: Conference Paper
Times cited : (7)

References (12)
  • 2
    • 33744795217 scopus 로고    scopus 로고
    • An immune based dynamic intrusion detection model
    • Li, T.: An immune based dynamic intrusion detection model. Chinese Science Bulletin, vol. 50, (2005) 2650-2657
    • (2005) Chinese Science Bulletin , vol.50 , pp. 2650-2657
    • Li, T.1
  • 4
    • 33744816550 scopus 로고    scopus 로고
    • An immunity based network security risk estimation
    • Li, T.: An immunity based network security risk estimation. Science in China Ser. F Information Sciences, vol.48 (2005) 557 - 578
    • (2005) Science in China Ser. F Information Sciences , vol.48 , pp. 557-578
    • Li, T.1
  • 7
    • 0015956495 scopus 로고
    • Towards a network theory of the immune system
    • Jerne, N.K.: Towards a Network Theory of the Immune System. Annnual Immunology, vol. 125c, 1974
    • (1974) Annnual Immunology , vol.125 C
    • Jerne, N.K.1
  • 10
    • 0032317988 scopus 로고    scopus 로고
    • An artificial immune system as a multi-agent decision support system
    • San Diego
    • Dasgupta, D.:An Artificial Immune System as a Multi-Agent Decision Support System, Proc of the IEEE International Conference on SMC, San Diego(1998)
    • (1998) Proc of the IEEE International Conference on SMC
    • Dasgupta, D.1
  • 11
    • 46149127936 scopus 로고
    • The immune system, adaption, and machine learning
    • Farmer, J.D., Packard, N.H., Perelson, A. S.: The Immune System, Adaption, and Machine Learning, Physica, vol.22d (1986)
    • (1986) Physica , vol.22 D
    • Farmer, J.D.1    Packard, N.H.2    Perelson, A.S.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.