2020
DOI: 10.5937/fmet2001007n
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The detection of sensor signal attacks in industrial control systems

Abstract: To improve productivity and efficiency in industrial manufacturing, the fourth industrial revolution leads to the implementation of Cyber Physical Systems (CPS) and Internet of Things (IoT) in the industrial environment. Ubiquitous communication makes CPS susceptible to external influences, which can have a negative intention; for instance, CPS are prone to various attacks and malicious threats by different adversaries. The impact of an attack on the system can lead to anomalies and serious consequences for sy… Show more

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Cited by 4 publications
(4 citation statements)
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References 14 publications
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“…Namely, using our approach [5], [13], a current value of the signal x i is estimated from the buffer of previous k values x i-k ,...,x i-1 . Thus, ε-SVR training set has the following form:…”
Section: Signal Attack Detection Methodsmentioning
confidence: 99%
See 2 more Smart Citations
“…Namely, using our approach [5], [13], a current value of the signal x i is estimated from the buffer of previous k values x i-k ,...,x i-1 . Thus, ε-SVR training set has the following form:…”
Section: Signal Attack Detection Methodsmentioning
confidence: 99%
“…The method we present in this paper is based on insensitive support vector regression (ε-SVR) and it belongs to a group of data-centric techniques. In our previous work [5] we have explored the possibilities of ε-SVR based sensory signal cyber-attack detection on the publicly available dataset obtained from a scaled down water treatment plant. The method has shown great potential; nevertheless, its application was carried out offline.…”
Section: Introductionmentioning
confidence: 99%
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“…Sensor: sensors in the architecture are often connected to machines via a simple fieldbus and are unsecured. This can create multiple attack surfaces, such as for data spoofing [27].…”
mentioning
confidence: 99%