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Volumn 3816 LNCS, Issue , 2005, Pages 125-131

Autonomous agent based distributed fault-tolerant intrusion detection system

Author keywords

[No Author keywords available]

Indexed keywords

COOPERATING AGENTS; DISTRIBUTED INTRUSION DETECTION; INTRUSION DETECTION SYSTEM; VULNERABILITIES;

EID: 33744936850     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11604655_16     Document Type: Conference Paper
Times cited : (13)

References (9)
  • 2
    • 0038738492 scopus 로고    scopus 로고
    • Learning Bayesian networks from data: An efficient approach based on information theory
    • University of Alberta, Canada
    • Cheng, J., Bell, D., Liu, W.: "Learning Bayesian Networks from Data: An efficient approach based on Information Theory." Technical Report, University of Alberta, Canada, 1998.
    • (1998) Technical Report
    • Cheng, J.1    Bell, D.2    Liu, W.3
  • 4
    • 84990616603 scopus 로고
    • Multiply sectioned Bayesian networks and junction forest for large knowledge-based systems
    • Xiang, Y., Poole, D., Beddoes, M: "Multiply Sectioned Bayesian Networks and Junction Forest for Large Knowledge-Based Systems." Computational Intelligence, 9(2): 171-220, 1993.
    • (1993) Computational Intelligence , vol.9 , Issue.2 , pp. 171-220
    • Xiang, Y.1    Poole, D.2    Beddoes, M.3
  • 6
    • 0033916466 scopus 로고    scopus 로고
    • Belief updating in multiply sectioned Bayesian networks without repeated local propagation
    • Xiang, Y.: "Belief Updating in Multiply Sectioned Bayesian Networks without Repeated Local Propagation." International Journal of Approximate Reasoning 23: 1-21, 2000.
    • (2000) International Journal of Approximate Reasoning , vol.23 , pp. 1-21
    • Xiang, Y.1
  • 8
    • 84888391834 scopus 로고    scopus 로고
    • DARPA Intrusion Data Repository
    • Kddcup 99 Intrusion Detection Data Set. DARPA Intrusion Data Repository. http://kdd.ics.uci.edu/databases/kddcup99/kddcup.data_10_percent.gz.
    • Kddcup 99 Intrusion Detection Data Set


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.