Distributed Control of Manufacturing Resources – Security Related Issues

Mitrović, Stefan; Dimić, Z.; Jakovljević, Živana

doi:10.24867/jpe-2019-02-035

Cited by 2 publications

(5 citation statements)

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“…The group of detected attacks includes 4 : (1) single stage single point attacks on LIT301 (attack 7 -Fig. 4a, attack 16 -Fig.…”

Section: A Case Study 1 -Secure Water Treatment Testbedmentioning

confidence: 99%

“…We focus on deception attacks characterized by the injection of false data into network communication links between control system components [4]. Generally, in industrial applications discrete event and continuous time systems are present.…”

Section: Introductionmentioning

confidence: 99%

“…Due to the inherent differences in these systems the approaches to their modeling and control are different. Consequently, the design of the attacks and corresponding mechanisms for their detection and system resilience improvement require implementation of different techniques [4] - [6]. In this research work, we focus on distributed continuous time controlled systems and on the attacks on the vulnerable communication links between controller and remote sensors/actuators in these systems (Fig.…”

Section: Introductionmentioning

confidence: 99%

“…1. Vulnerable communication links between controller and remote sensors/actuators in continuous time controlled systems [4].…”

Section: Introductionmentioning

confidence: 99%

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Detection of cyber-attacks in systems with distributed control based on support vector regression

Nedeljković

Jakovljević²,

Miljković

et al. 2020

Telfor J

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Concept of Industry 4.0 and implementation of Cyber Physical Systems (CPS) and Internet of Things (IoT) in industrial plants are changing the way we manufacture. Introduction of industrial IoT leads to ubiquitous communication (usually wireless) between devices in industrial control systems, thus introducing numerous security concerns and opening up wide space for potential malicious threats and attacks. As a consequence of various cyber-attacks, fatal failures can occur on system parts or the system as a whole. Therefore, security mechanisms must be developed to provide sufficient resilience to cyber-attacks and keep the system safe and protected. In this paper we present a method for detection of attacks on sensor signals, based on e insensitive support vector regression (e-SVR). The method is implemented on publicly available data obtained from Secure Water Treatment (SWaT) testbed as well as on a real-world continuous time controlled electro-pneumatic positioning system. In both cases, the method successfully detected all considered attacks (without false positives).

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“…The group of detected attacks includes 4 : (1) single stage single point attacks on LIT301 (attack 7 -Fig. 4a, attack 16 -Fig.…”

Section: A Case Study 1 -Secure Water Treatment Testbedmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

“…1. Vulnerable communication links between controller and remote sensors/actuators in continuous time controlled systems [4].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Detection of cyber-attacks in systems with distributed control based on support vector regression

Nedeljković

Jakovljević²,

Miljković

et al. 2020

Telfor J

View full text Add to dashboard Cite

show abstract

“…Generally, malicious cyber attacks can be classified as Denial of Service (DoS) or deception attacks [6]. Making data temporarily or permanently inaccessible, DoS attacks obstruct data from reaching their destinations and in essence they are similar to failures in communication.…”

Section: Introductionmentioning

confidence: 99%

The detection of sensor signal attacks in industrial control systems

Nedeljković¹,

Jakovljević²,

Miljković³

2020

FME Transactions

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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 system parts or the system as a whole. Security mechanisms must be developed in order to timely detect different attacks and to keep the system safe and protected. In this paper, a method for sensor signal attacks detection in a continuous time controlled systems has been proposed. The method is based on Support Vector Machines (SVM) and tested on the data obtained from the Secure Water Treatment (SWaT) testbed, a scaled-down plant that produces purified water.

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Distributed Control of Manufacturing Resources – Security Related Issues

Cited by 2 publications

References 0 publications

Detection of cyber-attacks in systems with distributed control based on support vector regression

Detection of cyber-attacks in systems with distributed control based on support vector regression

The detection of sensor signal attacks in industrial control systems

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