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Volumn 1, Issue , 2006, Pages 119-126

Immune anomaly detection enhanced with evolutionary paradigms

Author keywords

Artificial Immune Systems; Coevolution; Network Anomaly Detection

Indexed keywords

COMPUTER NETWORKS; DATA STRUCTURES; EVOLUTIONARY ALGORITHMS; GENETIC ALGORITHMS; SECURITY OF DATA; SYSTEMS ANALYSIS;

EID: 33750257602     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1143997.1144018     Document Type: Conference Paper
Times cited : (23)

References (14)
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    • (1993) Evolutionary Computation , vol.2 , Issue.1 , pp. 101-125
    • Beasley, D.1    Bull, D.R.2    Martin, R.R.3
  • 3
    • 0036613083 scopus 로고    scopus 로고
    • An immunity-based technique to characterize intrusions in computer networks
    • D. Dasgupta and F. Gonzalez. An immunity-based technique to characterize intrusions in computer networks. IEEE Transactions On Evolutionary Computation, 6(3): 1081-1088, 2002.
    • (2002) IEEE Transactions on Evolutionary Computation , vol.6 , Issue.3 , pp. 1081-1088
    • Dasgupta, D.1    Gonzalez, F.2
  • 4
    • 0345438685 scopus 로고    scopus 로고
    • Roc graphs: Notes and practical considerations for data mining researchers
    • T. Fawcett. Roc graphs: Notes and practical considerations for data mining researchers. Technical Report HPL-2003-4, 2003.
    • (2003) Technical Report , vol.HPL-2003-4
    • Fawcett, T.1
  • 6
    • 21244465997 scopus 로고    scopus 로고
    • How do we evaluate artificial immune systems?
    • S. M. Garret. How do we evaluate artificial immune systems? Evolutionary Computation, 13(2), 2005.
    • (2005) Evolutionary Computation , vol.13 , Issue.2
    • Garret, S.M.1
  • 7
    • 21244441082 scopus 로고    scopus 로고
    • A machine learning evaluation of an artificial immune system
    • M. Glickman, J. Balthrop, and S. Forrest. A machine learning evaluation of an artificial immune system. Evolutionary Computation, 13(2), 2005.
    • (2005) Evolutionary Computation , vol.13 , Issue.2
    • Glickman, M.1    Balthrop, J.2    Forrest, S.3
  • 8
    • 33750252770 scopus 로고    scopus 로고
    • http://www.ll.mit.edu/IST/ideval/index.html.
  • 10
    • 33847172328 scopus 로고    scopus 로고
    • Constraint satisfaction with coevqlution
    • McGraw-Hill
    • J. Paredis. Constraint satisfaction with coevqlution. In New Ideas in Optimization. McGraw-Hill, 1999.
    • (1999) New Ideas in Optimization
    • Paredis, J.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.