Cyber intrusion detection on critical infrastructures using fuzzy neural first order hybrid Petri net

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Ghazi Zeinab; Doustmohammadi Ali

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Paper Information

Journal: Journal of Control Year:2018 | Volume:12 | Issue:3 Page(s): 63-75

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Information Journal Paper

Title

Cyber intrusion detection on critical infrastructures using fuzzy neural first order hybrid Petri net

Author(s)

Ghazi Zeinab | Doustmohammadi Ali | Issue Writer Certificate

Keywords

critical infrastructuresQ1

cyber attacksQ1

intrusion detection systemsQ1

fuzzy neural first order hybrid Petri neQ1

Abstract

Due to the growing demand to achieve more secure and reliable systems, development of models, analysis and design of appropriate procedures seems to be necessary. The aim of this paper is designing a controller in order to detect cyber intrusion. In this paper fuzzy neural first order hybrid Petri net is used to design a controller that is capable of detecting cyber intrusions accurately as soon as possible. The stability of the proposed intrusion detection system has been proven for any network conditions and input parameters. To evaluate controller performance, DARPA standard data set is used. The simulation results confirm proper detection rate, low of false positive rate, and also surprisingly high convergence speed.

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APA: Copy

Ghazi, Zeinab, & Doustmohammadi, Ali. (2018). Cyber intrusion detection on critical infrastructures using fuzzy neural first order hybrid Petri net. JOURNAL OF CONTROL, 12(3 ), 63-75. SID. https://sid.ir/paper/120814/en

Vancouver: Copy

Ghazi Zeinab, Doustmohammadi Ali. Cyber intrusion detection on critical infrastructures using fuzzy neural first order hybrid Petri net. JOURNAL OF CONTROL[Internet]. 2018;12(3 ):63-75. Available from: https://sid.ir/paper/120814/en

IEEE: Copy

Zeinab Ghazi, and Ali Doustmohammadi, “Cyber intrusion detection on critical infrastructures using fuzzy neural first order hybrid Petri net,” JOURNAL OF CONTROL, vol. 12, no. 3 , pp. 63–75, 2018, [Online]. Available: https://sid.ir/paper/120814/en

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