Detection of cyber-attacks in systems with distributed control based on support vector regression
Abstract
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 ca...ses, the method successfully detected all considered attacks (without false positives).
Keywords:
support vector regression / industrial Internet of things / industrial control systems / cyber security / cyber physical systemsSource:
Telfor Journal, 2020, 12, 2, 104-109Publisher:
- Beograd : Društvo za telekomunikacije ; Akademska misao
Funding / projects:
- MISSION4.0 - Deep Machine Learning and Swarm Intelligence-Based Optimization Algorithms for Control and Scheduling of Cyber-Physical Systems in Industry 4.0 (RS-ScienceFundRS-AI-6523109)
- Ministry of Science, Technological Development and Innovation of the Republic of Serbia, institutional funding - 200105 (University of Belgrade, Faculty of Mechanical Engineering) (RS-MESTD-inst-2020-200105)
Collections
Institution/Community
Mašinski fakultetTY - JOUR AU - Nedeljković, Dušan AU - Jakovljević, Živana AU - Miljković, Zoran AU - Pajić, Miroslav PY - 2020 UR - https://machinery.mas.bg.ac.rs/handle/123456789/3442 AB - 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). PB - Beograd : Društvo za telekomunikacije ; Akademska misao T2 - Telfor Journal T1 - Detection of cyber-attacks in systems with distributed control based on support vector regression EP - 109 IS - 2 SP - 104 VL - 12 DO - 10.5937/TELFOR2002104N ER -
@article{ author = "Nedeljković, Dušan and Jakovljević, Živana and Miljković, Zoran and Pajić, Miroslav", year = "2020", abstract = "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).", publisher = "Beograd : Društvo za telekomunikacije ; Akademska misao", journal = "Telfor Journal", title = "Detection of cyber-attacks in systems with distributed control based on support vector regression", pages = "109-104", number = "2", volume = "12", doi = "10.5937/TELFOR2002104N" }
Nedeljković, D., Jakovljević, Ž., Miljković, Z.,& Pajić, M.. (2020). Detection of cyber-attacks in systems with distributed control based on support vector regression. in Telfor Journal Beograd : Društvo za telekomunikacije ; Akademska misao., 12(2), 104-109. https://doi.org/10.5937/TELFOR2002104N
Nedeljković D, Jakovljević Ž, Miljković Z, Pajić M. Detection of cyber-attacks in systems with distributed control based on support vector regression. in Telfor Journal. 2020;12(2):104-109. doi:10.5937/TELFOR2002104N .
Nedeljković, Dušan, Jakovljević, Živana, Miljković, Zoran, Pajić, Miroslav, "Detection of cyber-attacks in systems with distributed control based on support vector regression" in Telfor Journal, 12, no. 2 (2020):104-109, https://doi.org/10.5937/TELFOR2002104N . .