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Volumn 4, Issue , 2003, Pages 2463-2467

Hybrid neural network and C4.5 for misuse detection

Author keywords

Back propagation; C4.5; Decision Tree; Intrusion Detection; Neural Network

Indexed keywords

ALGORITHMS; COMPUTER NETWORKS; CYBERNETICS; INTERNET; LEARNING SYSTEMS; SECURITY OF DATA; TREES (MATHEMATICS);

EID: 1542285202     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (76)

References (11)
  • 6
    • 1542380677 scopus 로고    scopus 로고
    • Training a Neural- Network Based Intrusion Detector to Recognize Novel Attacks
    • S.C. Lee, D.V. Heinbuch. Training a Neural- Network Based Intrusion Detector to Recognize Novel Attacks. Information Assurance and Security, pp.40-46, 2000
    • (2000) Information Assurance and Security , pp. 40-46
    • Lee, S.C.1    Heinbuch, D.V.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.