Integrated OCSVM mechanism for intrusion detection in SCADA systems

Electronics Letters

Volumn 50, Issue 25, 2014, Pages 1935-1936

  Maglaras, Leandros A ^a   Jiang, Jianmin ^a   Cruz, Tiago ^b  

^a UNIVERSITY OF SURREY   (United Kingdom)

^b UNIVERSITY OF COIMBRA   (Portugal)

Author keywords

[No Author keywords available]

Indexed keywords

INTERACTIVE COMPUTER SYSTEMS; REAL TIME SYSTEMS; SCADA SYSTEMS; SUPPORT VECTOR MACHINES;

DEFENCE MECHANISMS; FALSE POSITIVE; INTRUSION DETECTION SYSTEMS; NETWORK TRAFFIC; ONE-CLASS SUPPORT VECTOR MACHINES (OCSVM); SCADA NETWORKS; SUPERVISORY CONTROL AND DATAACQUISITION SYSTEMS (SCADA);

INTRUSION DETECTION;

EID: 84928173034     PISSN: 00135194     EISSN: None     Source Type: Journal    
DOI: 10.1049/el.2014.2897     Document Type: Article

References (6)

1. Al-Sakib Khan, P.: 'The state of the art in intrusion prevention and detection' (CRC Press, London, UK, 2014)
2. Cruz, T, Jorge, P., Paulo, S., Matthieu, A., Moussa, O., Antonio, G., and Lasith, Y.: 'Improving cyber-security awareness on industrial control systems: the CockpitCI approach'. Proc. of 13th ECCWS 2014 Piraeus, Greece, July 2014
3. Wang, Y., Wong, J., and Miner, A.: 'Anomaly intrusion detection using one class SVM'. Proc. 5th Annual IEEE SMC on Information Assurance Workshop, West Point, NY, USA, June 2004, pp. 358-364
4. Maglaras, LA., and Jiang, J.: 'Intrusion detection in SCADA systems using machine learning techniques'. Proc. of SAI Conf, London, UK, August 2014
5. Krawczyk, B., and Wozniak, M.: 'Diversity measures for one-class classifier ensembles', Neurocomputing, 2014, 126, pp. 36-44
6. Spearman, C: 'The proof and measurement of association between two things', Am. J. Psychol., 1904, 15, (1), pp. 72-101