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Volumn 1, Issue , 2002, Pages 129-132

An evolving intrusion detection system based on natural immune system

Author keywords

Computer security; Immune; Intrusion detection system (IDS); Negative selection algorithm

Indexed keywords

COMPUTER ARCHITECTURE; COMPUTER NETWORKS; COMPUTER SYSTEM FIREWALLS; CRYPTOGRAPHY; MATHEMATICAL MODELS;

EID: 0037662025     PISSN: None     EISSN: None     Source Type: Journal    
DOI: 10.1109/TENCON.2002.1181232     Document Type: Article
Times cited : (3)

References (9)
  • 2
    • 0038738362 scopus 로고    scopus 로고
    • Department of Computer Science, Pudure University
    • Balasubramaniyan. “Software Agents for Intrusion Detection”, Department of Computer Science, Pudure University, at http://www.cs.pudure.edu/coast/coast-lihrary.html
    • Software Agents for Intrusion Detection
    • Balasubramaniyan1
  • 3
    • 0032676506 scopus 로고    scopus 로고
    • A data mining framework for building intrusion detection models
    • Berkeley, California, May
    • Wenke Lee. A data mining framework for building intrusion detection models. In IEEE Symposium on Security and Privacy, pages 120-132, Berkeley, California, May 1999.
    • (1999) IEEE Symposium on Security and Privacy , pp. 120-132
    • Wenke, L.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.