Implementation of cnn based algorithm for cyber-attacks detection on a real-world control system
Апстракт
The emergence of the Industry 4.0 concept leads to crucial changes in manufacturing by building advanced industrial systems and applications based on Cyber-Physical Systems (CPS), as the core of this approach. Using CPS, manufacturing assets are designed in the form of systems of systems through interconnection of smart devices with integrated computation and communication capabilities. System control logic is distributed over a large number of resources, and its performance is achieved through their coordinated work and ubiquitous communication raising the issue of cyber-attacks by malicious adversaries. Since cybersecurity within industrial control systems is safety related, it is necessary to timely detect cyber-attacks on industrial assets; for these purposes a number of different approaches have been developed. As a technique of choice, deep learning (DL) based methods emerge, providing good online performances. In this work, we focus on the implementation of a DL based cyber-atta...ck detection algorithm on an electro-pneumatic positioning system containing smart sensor and smart actuator. In particular, we employ cyber-attack detection procedure based on 1D Convolutional Neural Network (CNN) at the local controller of the smart actuator. The implemented algorithm can successfully detect cyber-attacks in real-time, as will be experimentally demonstrated.
Кључне речи:
Industrial Control Systems / Cyber-Physical Systems / Convolutional Neural Network / CybersecurityИзвор:
Proceedings of the 14th International Scientific Conference MMA 2021 - Flexible Technologies, Novi Sad, september 2021, 2021, 119-122Издавач:
- Faculty of Technical Sciences, Department of Production Engineering, Novi Sad
Финансирање / пројекти:
- 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)
- Иновативни приступ у примени интелигентних технолошких система за производњу делова од лима заснован на еколошким принципима (RS-MESTD-Technological Development (TD or TR)-35004)
Колекције
Институција/група
Mašinski fakultetTY - CONF AU - Nedeljković, Dušan AU - Jakovljević, Živana PY - 2021 UR - https://machinery.mas.bg.ac.rs/handle/123456789/5276 AB - The emergence of the Industry 4.0 concept leads to crucial changes in manufacturing by building advanced industrial systems and applications based on Cyber-Physical Systems (CPS), as the core of this approach. Using CPS, manufacturing assets are designed in the form of systems of systems through interconnection of smart devices with integrated computation and communication capabilities. System control logic is distributed over a large number of resources, and its performance is achieved through their coordinated work and ubiquitous communication raising the issue of cyber-attacks by malicious adversaries. Since cybersecurity within industrial control systems is safety related, it is necessary to timely detect cyber-attacks on industrial assets; for these purposes a number of different approaches have been developed. As a technique of choice, deep learning (DL) based methods emerge, providing good online performances. In this work, we focus on the implementation of a DL based cyber-attack detection algorithm on an electro-pneumatic positioning system containing smart sensor and smart actuator. In particular, we employ cyber-attack detection procedure based on 1D Convolutional Neural Network (CNN) at the local controller of the smart actuator. The implemented algorithm can successfully detect cyber-attacks in real-time, as will be experimentally demonstrated. PB - Faculty of Technical Sciences, Department of Production Engineering, Novi Sad C3 - Proceedings of the 14th International Scientific Conference MMA 2021 - Flexible Technologies, Novi Sad, september 2021 T1 - Implementation of cnn based algorithm for cyber-attacks detection on a real-world control system EP - 122 SP - 119 UR - https://hdl.handle.net/21.15107/rcub_machinery_5276 ER -
@conference{ author = "Nedeljković, Dušan and Jakovljević, Živana", year = "2021", abstract = "The emergence of the Industry 4.0 concept leads to crucial changes in manufacturing by building advanced industrial systems and applications based on Cyber-Physical Systems (CPS), as the core of this approach. Using CPS, manufacturing assets are designed in the form of systems of systems through interconnection of smart devices with integrated computation and communication capabilities. System control logic is distributed over a large number of resources, and its performance is achieved through their coordinated work and ubiquitous communication raising the issue of cyber-attacks by malicious adversaries. Since cybersecurity within industrial control systems is safety related, it is necessary to timely detect cyber-attacks on industrial assets; for these purposes a number of different approaches have been developed. As a technique of choice, deep learning (DL) based methods emerge, providing good online performances. In this work, we focus on the implementation of a DL based cyber-attack detection algorithm on an electro-pneumatic positioning system containing smart sensor and smart actuator. In particular, we employ cyber-attack detection procedure based on 1D Convolutional Neural Network (CNN) at the local controller of the smart actuator. The implemented algorithm can successfully detect cyber-attacks in real-time, as will be experimentally demonstrated.", publisher = "Faculty of Technical Sciences, Department of Production Engineering, Novi Sad", journal = "Proceedings of the 14th International Scientific Conference MMA 2021 - Flexible Technologies, Novi Sad, september 2021", title = "Implementation of cnn based algorithm for cyber-attacks detection on a real-world control system", pages = "122-119", url = "https://hdl.handle.net/21.15107/rcub_machinery_5276" }
Nedeljković, D.,& Jakovljević, Ž.. (2021). Implementation of cnn based algorithm for cyber-attacks detection on a real-world control system. in Proceedings of the 14th International Scientific Conference MMA 2021 - Flexible Technologies, Novi Sad, september 2021 Faculty of Technical Sciences, Department of Production Engineering, Novi Sad., 119-122. https://hdl.handle.net/21.15107/rcub_machinery_5276
Nedeljković D, Jakovljević Ž. Implementation of cnn based algorithm for cyber-attacks detection on a real-world control system. in Proceedings of the 14th International Scientific Conference MMA 2021 - Flexible Technologies, Novi Sad, september 2021. 2021;:119-122. https://hdl.handle.net/21.15107/rcub_machinery_5276 .
Nedeljković, Dušan, Jakovljević, Živana, "Implementation of cnn based algorithm for cyber-attacks detection on a real-world control system" in Proceedings of the 14th International Scientific Conference MMA 2021 - Flexible Technologies, Novi Sad, september 2021 (2021):119-122, https://hdl.handle.net/21.15107/rcub_machinery_5276 .