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      On the Edge Realtime Intrusion Prevention System for DoS Attack

      1 , , Ph.D. 2 , , Ph.D. 1

      5th International Symposium for ICS & SCADA Cyber Security Research 2018 (ICS-CSR 2018)

      ICS & SCADA Cyber Security Research

      29 - 30 August 2018

      SCADA, ICS, on-the-edge Intrusion Prevention System, Denial-of-Service attack, Unsupervised Machine Learning

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          Industrial control systems manage critical infrastructures that are immensely diverse and complicated. These highly linked critical infrastructures are made up of networks of industrial control system (ICS) each responsible for controlling critical processes. During its nascent stages the controllers in the ICS were built for robust operation in extreme industrial conditions, but little to no emphasis was placed on safeguarding the system against potential cyberthreats. The industrial networks having legacy controllers are air gapped from the enterprise network hence a centrally deployed NIDS in the same network of the trusted nodes is often used as the last line of defence against intrusions such as malicious activity or policy violation. Most cyber incidents in industrial control systems have witnessed the breach of the air gap and compromised trusted nodes. Hence this paper proposes an on-the-edge Intrusion Prevention System (IPS) that can detect and prevent Denial of Service (DoS) attack on the Programmable Logic Controllers (PLCs) from trusted nodes at real time. A novel attribute of our proposed framework is that it is generic in nature and can be used on any PLC irrespective of the critical infrastructure being controlled by it. A wide range of experimentation has been performed to validate the performance of our proposed IPS.

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          Most cited references 18

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          A Taxonomy of Cyber Attacks on SCADA Systems

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            W32. Stuxnet dossier

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              OpenPLC: An open source alternative to automation


                Author and article information

                August 2018
                August 2018
                : 84-91
                [1 ]Department of Electrical and Computer Engineering, The University of Alabama in Huntsville, Huntsville, USA
                [2 ]Department of Computer Science, The University of Alabama in Huntsville, Huntsville, USA
                © Das et al. Published by BCS Learning and Development Ltd. Proceedings of ICS & SCADA 2018

                This work is licensed under a Creative Commons Attribution 4.0 Unported License. To view a copy of this license, visit

                5th International Symposium for ICS & SCADA Cyber Security Research 2018
                ICS-CSR 2018
                University of Hamburg, Germany
                29 - 30 August 2018
                Electronic Workshops in Computing (eWiC)
                ICS & SCADA Cyber Security Research
                Product Information: 1477-9358BCS Learning & Development
                Self URI (journal page):
                Electronic Workshops in Computing


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