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Volumn 5, Issue , 2004, Pages 4339-4342

An induction learning approach for building intrusion detection models using genetic algorithms

Author keywords

Genetic algorithms; Induction learning; Information processing; Intelligent method; Intrusion detection

Indexed keywords

INDUCTION LEARNING; INTELLIGENT METHODS; INTRUSION DETECTION;

EID: 4444310563     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (12)

References (13)
  • 9
    • 85084160308 scopus 로고    scopus 로고
    • A study in using neural networks for anomaly and misuse detection
    • Washington D.C. USA, Aug
    • A. K. Ghosh, A. Schwartzbard. "A study in using neural networks for anomaly and misuse detection," In Proceedings of the Eighth USENIX Security Symposium, Washington D.C. USA, Aug 1999, http://www.usenix.org/events/sec99/full_papers/ghosh/ghosh.pdf.
    • (1999) Proceedings of the Eighth USENIX Security Symposium
    • Ghosh, A.K.1    Schwartzbard, A.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.