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Volumn 3617 LNCS, Issue , 2005, Pages 50-57

Learning intrusion detection: Supervised or unsupervised?

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION (OF INFORMATION); COMPUTER SCIENCE; ERROR DETECTION; SECURITY SYSTEMS;

EID: 33745163595     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11553595_6     Document Type: Conference Paper
Times cited : (175)

References (20)
  • 5
    • 85016684916 scopus 로고    scopus 로고
    • Intrusion detection in unlabeled data with quarter-sphere support vector machines
    • Laskov, P., Schäfer, C., Kotenko, I.: Intrusion detection in unlabeled data with quarter-sphere support vector machines. In: Proc. DIMVA. (2004) 71-82
    • (2004) Proc. DIMVA , pp. 71-82
    • Laskov, P.1    Schäfer, C.2    Kotenko, I.3
  • 14
    • 84885774862 scopus 로고    scopus 로고
    • A framework for constructing features and models for intrusion detection systems
    • Lee, W., Stolfo, S.: A framework for constructing features and models for intrusion detection systems. In: ACM Transactions on Information and System Security. Volume 3. (2001) 227-261
    • (2001) ACM Transactions on Information and System Security , vol.3 , pp. 227-261
    • Lee, W.1    Stolfo, S.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.