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Volumn 3, Issue , 2009, Pages 365-370

Lightweight IDS based on features selection and IDS classification scheme

Author keywords

Features classification; Features ranking; Features selection; Intrusion detection systems; Support decision function

Indexed keywords

APPLICATION LAYERS; CLASSIFICATION FEATURES; CLASSIFICATION SCHEME; DECISION FUNCTIONS; DETECTION PROCESS; DETECTION RATES; FEATURES SELECTION; IMPROVING SYSTEMS; INTRUSION DETECTION SYSTEMS; LINK LAYERS; NOVEL CONCEPT; REDUNDANT FEATURES; RESOURCE CONSUMPTION; SUPPORT VECTOR; SYSTEM EFFICIENCY; TCP/IP NETWORKS; TRAINING AND TESTING; TRANSPORT LAYERS;

EID: 70849116937     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CSE.2009.180     Document Type: Conference Paper
Times cited : (32)

References (25)
  • 1
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    • Curti, A.1    Carver, J.2
  • 2
    • 0028430224 scopus 로고
    • Network intrusion detection
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    • B. Mukherjee, L.T. Heberlein, and K.N. Levitt, "Network Intrusion Detection." IEEE Network, Page(s): 26-41, Vol.8, No.3, May-June 1994.
    • (1994) IEEE Network , vol.8 , Issue.3 , pp. 26-41
    • Mukherjee, B.1    Heberlein, L.T.2    Levitt, K.N.3
  • 15
    • 84943383590 scopus 로고    scopus 로고
    • Identifying important features for intrusion detection using support vector machines and neural networks
    • 27-31 January
    • A. Sung, and Srinivas Mukkamala. Identifying Important Features for Intrusion Detection Using Support Vector Machines and Neural Networks. Symposium on Application and Internet (SAINT'03), Page(s): 209- 216, 27-31 January. 2003.
    • (2003) Symposium on Application and Internet (SAINT'03) , pp. 209-216
    • Sung, A.1    Mukkamala, S.2
  • 16
    • 38149079834 scopus 로고    scopus 로고
    • A feature classification scheme for network intrusion detection
    • July
    • I. Onut and A. Ghorbani. A Feature Classification Scheme for Network Intrusion Detection. International Journal of Network Security, Page(s): 1-15, July 2007.
    • (2007) International Journal of Network Security , pp. 1-15
    • Onut, I.1    Ghorbani, A.2
  • 17
    • 38149086092 scopus 로고    scopus 로고
    • Features vs. Attacks: A comprehensive feature selection model for network based intrusion detection systems
    • Springer-Verlag Berlin Heidelberg
    • I. Onut and A. Ghorbani. Features vs. Attacks: A Comprehensive Feature Selection Model for Network Based Intrusion Detection Systems. Lecture notes in Computer Science, Page(s): 19-36, Springer-Verlag Berlin Heidelberg 2007.
    • (2007) Lecture Notes in Computer Science , pp. 19-36
    • Onut, I.1    Ghorbani, A.2
  • 25
    • 70849116755 scopus 로고    scopus 로고
    • March
    • http://www.ll.mit.edu/mission/communications/ist/index.html(March 2009).
    • (2009)


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.