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Volumn , Issue , 2014, Pages 432-438

SCADA Intrusion Detection System based on temporal behavior of frequent patterns

Author keywords

Intrusion detection systems; SCADA systems; Temporal Frequent Patterns

Indexed keywords

COMPUTER CRIME; INTRUSION DETECTION;

EID: 84904153603     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/MELCON.2014.6820573     Document Type: Conference Paper
Times cited : (43)

References (14)
  • 2
    • 22344444992 scopus 로고    scopus 로고
    • The myths and facts behind cyber security risks for industrial control systems
    • Berlin, October 2004
    • E. Byres, and J. Lowe, "The Myths and Facts behind Cyber Security Risks for Industrial Control Systems," in VDE 2004 Congress, VDE, Berlin, October 2004.
    • VDE 2004 Congress, VDE
    • Byres, E.1    Lowe, J.2
  • 5
    • 84904159668 scopus 로고    scopus 로고
    • A survey of scada and critical infrastructure incidents
    • B. Miller, and D. C. Rowe, "A Survey of SCADA and Critical Infrastructure Incidents," in SIGITE 2012, 2012.
    • (2012) SIGITE 2012
    • Miller, B.1    Rowe, D.C.2
  • 8
    • 70449371464 scopus 로고    scopus 로고
    • Neural network based intrusion detection system for critical infrastructures
    • June 2009
    • O. Linda, T. Vollmer, and M. Manic, "Neural network based intrusion detection system for critical infrastructures," In International Joint Conference on Neural Networks, 2009., pages 1827-1834, June 2009.
    • (2009) International Joint Conference on Neural Networks , pp. 1827-1834
    • Linda, O.1    Vollmer, T.2    Manic, M.3
  • 12
    • 84874453480 scopus 로고    scopus 로고
    • Detecting attacks in power plant interfacing substations through probabilistic validation of attack-effect bindings
    • J. L. Rrushi, and R. H. Campbell, "Detecting Attacks in Power Plant Interfacing Substations through Probabilistic Validation of Attack-Effect Bindings," in SCADA Security Scientific Symposium, 2008.
    • (2008) SCADA Security Scientific Symposium
    • Rrushi, J.L.1    Campbell, R.H.2
  • 13
    • 33847299487 scopus 로고    scopus 로고
    • Multi-agent intrusion detection system in industrial network using ant colony clustering approach and unsupervised feature extraction
    • ICIT
    • C.H. Tsang, and S. Kwong, "Multi-Agent Intrusion Detection System in Industrial Network using Ant Colony Clustering Approach and Unsupervised Feature Extraction," In Proceeding of IEEE International Conference on Industrial Technology Page 51-56, ICIT 2005.
    • (2005) Proceeding of IEEE International Conference on Industrial Technology , pp. 51-56
    • Tsang, C.H.1    Kwong, S.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.