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      Industrial Control System Defence: Debugging ICS Maintenance Network Traffic


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      6th International Symposium for ICS & SCADA Cyber Security Research 2019 (ICS-CSR)

      Cyber Security Research

      10th-12th September 2019

      Network Security, Industrial Control System, Machine Learning, Maintenance, Cyber Defence



            Industrial Control System (ICS) third-party maintenance introduces security risk into an organisation, as access is granted for performance of named maintenance tasks on industrial equipment, but there is currently no fine-grained way to monitor the activity. This paper applies Machine Learning to ICS network traffic, in order to alert operational staff to unauthorised activity. The work describes a method for identifying deviations, by characterising network traffic purpose, and applying software to dissect, learn and monitor maintenance traffic, then presenting results in a chart.


            Author and article information

            September 2019
            September 2019
            : 11-20
            [0001]Cyber Security Architecture, Innovation and Scouting

            Airbus, Quadrant House, Celtic Springs Business Park, Duffryn, Newport NP10 8FZ

            © Angela Smith et al. Published by BCS Learning and Development Ltd. 6th International Symposium for ICS & SCADA Cyber Security Research 2019

            This work is licensed under a Creative Commons Attribution 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

            6th International Symposium for ICS & SCADA Cyber Security Research 2019
            Athens, Greece
            10th-12th September 2019
            Electronic Workshops in Computing (eWiC)
            Cyber Security Research
            Product Information: 1477-9358BCS Learning & Development
            Self URI (journal page): https://ewic.bcs.org/
            Electronic Workshops in Computing


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