Intrusion Detection Systems are becoming an important defense mechanism for (supervisory control and data acquisition (SCADA) systems. SCADA systems are likely to become more dynamic leading to a need for research into how changes to the network architecture that is monitored, affect the performance of defense mechanisms. This article investigates how changes in the network architecture of the SCADA system affect the performance of an IDS that is based on the One class Support Vector Machine (OCSVM). Also the article proposes an adaptive mechanism that can cope with such changes and can work in real time situations.
Keywords
Intrusion Detection Systems, Support Vector Machines, Adaptive Mechanisms
Related Project
FP7 CockpitCI: Cybersecurity on SCADA: risk prediction, analysis and reaction tools for Critical Infrastructures
Conference
2nd International Conference on Industrial Networks and Intelligent Systems (INISCOM 2016), Leicester, United Kingdom - Springer International Publishing, Lecture Notes of the Institute for Computer Sciences, October 2016
DOI
Cited by
Year 2019 : 1 citations
L. N. Tidjon, M. Frappier and A. Mammar, "Intrusion Detection Systems: A Cross-Domain Overview," in IEEE Communications Surveys & Tutorials, vol. 21, no. 4, pp. 3639-3681, Fourthquarter 2019.
doi: 10.1109/COMST.2019.2922584
Year 2018 : 1 citations
H. Jiao, J. Li and T. Jiang, "The Cloud Resource Load Security Detection Based on Wavelet Packet Transform and Grey Wolf Algorithm," 2018 15th International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP), Chengdu, China, 2018, pp. 1-5. doi: 10.1109/ICCWAMTIP.2018.8632600
