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Volumn , Issue , 1999, Pages

Automated intrusion detection using NFR: Methods and experiences

Author keywords

[No Author keywords available]

Indexed keywords

ANOMALY DETECTION; DATA MINING; NETWORK SECURITY; TURING MACHINES;

EID: 84962288690     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (12)

References (8)
  • 3
    • 0030285403 scopus 로고    scopus 로고
    • The KDD process of extracting useful knowledge from volumes of data
    • November
    • U. Fayyad, G. Piatetsky-Shapiro, and P. Smyth. The KDD process of extracting useful knowledge from volumes of data. Communications of the ACM, 39(11):27-34, November 1996.
    • (1996) Communications of the ACM , vol.39 , Issue.11 , pp. 27-34
    • Fayyad, U.1    Piatetsky-Shapiro, G.2    Smyth, P.3
  • 5
    • 84940104123 scopus 로고    scopus 로고
    • A data mining framework for building intrusion detection models
    • Oakland, CA, May
    • W. Lee and S. J. Stolfo. A data mining framework for building intrusion detection models. In 1999 IEEE Symposium on Security and Privacy., Oakland, CA, May 1999.
    • (1999) 1999 IEEE Symposium on Security and Privacy
    • Lee, W.1    Stolfo, S. J.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.