Detection of interruption attack in the wireless networked closed loop industrial control systems

R. B. Benisha () and S. Raja Ratna ()
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R. B. Benisha: V V College of Engineering
S. Raja Ratna: V V College of Engineering

Telecommunication Systems: Modelling, Analysis, Design and Management, 2020, vol. 73, issue 3, No 2, 359-370

Abstract: Abstract Due to tremendous growth in the network, security is a major concern and it is gaining a high level of attention in the system. In the Industrial control systems such as SCADA wind turbines, intruders target to corrupt information by making traffic. A Novel method known as Mesh Intruder detachment scheme has proposed to overcome such influential attacks. Enhanced intrusion detection based traffic optimization and deep learning based neural network algorithm are used to detect delay and passage caused by the intruders. The proposed scheme acts in two phases. In the first phase, redundant information such as unwanted distortions, frequency specification changes was removed and selected features were extracted for optimization. In the second phase, an Interruption attack has been detected and labeled which causes damage to the growth of production.

Keywords: Supervisory control and data acquisition; Deep learning; Neural network; Intrusion detection; Optimization (search for similar items in EconPapers)
Date: 2020
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DOI: 10.1007/s11235-019-00614-3

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