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Volumn 3, Issue , 2008, Pages 807-811

Analysis of different architectures of neural networks for application in intrusion detection systems

Author keywords

[No Author keywords available]

Indexed keywords

INTRUSION DETECTION SYSTEMS; NETWORK BEHAVIORS; NETWORK TRAFFIC; NORMAL BEHAVIOR; TRAINING PHASE;

EID: 70349304433     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IMCSIT.2008.4747335     Document Type: Conference Paper
Times cited : (12)

References (7)
  • 1
    • 84885774862 scopus 로고    scopus 로고
    • A framework for constructing features and models for intrusion detection systems
    • W. Lee, S. J. Stolfo, "A Framework for Constructing Features and Models for Intrusion Detection Systems", ACM Transactions on Information and System Security (TISSEC), 3(4): 227-261, 2000.
    • (2000) ACM Transactions on Information and System Security (TISSEC) , vol.3 , Issue.4 , pp. 227-261
    • Lee, W.1    Stolfo, S.J.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.