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Volumn , Issue , 2010, Pages 228-232

Modified Ant Miner for intrusion detection

Author keywords

Ant Miner; Intrusion detection; Support vector machine

Indexed keywords

ANT MINER; ANT-MINER ALGORITHM; DATA MINING TECHNIQUES; INTRUSION DATA; TRAINING TIME;

EID: 77953058211     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICMLC.2010.52     Document Type: Conference Paper
Times cited : (11)

References (18)
  • 2
    • 2942533003 scopus 로고    scopus 로고
    • SAD: Web session anomaly detection based on parameter estimation
    • June
    • Cho S Cha, "SAD: web session anomaly detection based on parameter estimation", Computer & Security, Vol 23, No 4, pp 265-351, June 2004
    • (2004) Computer & Security , vol.23 , Issue.4 , pp. 265-351
    • Cha, C.S.1
  • 9
    • 0030082551 scopus 로고    scopus 로고
    • The Ant System: Optimization by colony of cooperating agents
    • M dorigo, "The Ant System: Optimization by colony of cooperating agents", IEEE Transaction Systems, Man and Cybernetics, Part B, 26(1), pp 1212, 1996
    • (1996) IEEE Transaction Systems, Man and Cybernetics , vol.26 , Issue.1 PART B , pp. 1212
  • 12
    • 0242468747 scopus 로고    scopus 로고
    • An Anomaly intrusion detection method by clustering normal user behavior
    • November
    • Oh SH and Lee WS, "An Anomaly intrusion detection method by clustering normal user behavior", Computer & Security, Vol 22, No 7, pp 596-612, November, 2003
    • (2003) Computer & Security , vol.22 , Issue.7 , pp. 596-612
    • Oh, S.H.1    Lee, W.S.2
  • 13
    • 4544247538 scopus 로고    scopus 로고
    • Department of Computer Science & Information Engineering, National Taiwan University
    • Pai-Hasuen Chen, Chih-jen lin , and Bernhard, "A tutorial on support Vector Machine", Department of Computer Science & Information Engineering, National Taiwan University.
    • A Tutorial on Support Vector Machine
    • Chen, P.-H.1    Lin, C.-J.2    Bernhard3
  • 18
    • 33847288076 scopus 로고    scopus 로고
    • Department of Computer Science and Engineering, Mississippi State University, Mississippi State
    • Wei Li, "Using Genetic Algorithm for Network Intrusion Detection", Department of Computer Science and Engineering, Mississippi State University, Mississippi State.
    • Using Genetic Algorithm for Network Intrusion Detection
    • Li, W.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.