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      PLCBlockMon: Data Logging and Extraction on PLCs for Cyber Intrusion Detection

      1 , 1 , 2 , 2

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

      ICS & SCADA Cyber Security Research

      29 - 30 August 2018

      Industrial Control Systems, Cyber Security, Logging and Extraction, PLC, Intrusion Detection

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          Abstract

          The threat landscape for industrial control systems is ever-expanding and these systems have proven to be attractive targets for cyber attackers. Programmable Logic Controllers are major components in ICSs and hence need to be well-protected and monitored. By examining the existing research in this field we found that there is a void in comprehensive analysis of data logging and extraction features on industrial devices. However, analysis of these features and evaluation of their applicability for cyber intrusion detection would significantly facilitate their adoption by intrusion detection tools. In order to close the gap, we analyzed the logging and extraction capabilities of the Siemens S7-1200 PLC and HMI panel. We implemented a PLC logic for data logging called PLCBlockMon. In this paper, we provide guidelines for its usage and demonstrate its applicability for cyber intrusion detection in selected scenarios.

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          Most cited references 13

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          Sequence-aware Intrusion Detection in Industrial Control Systems

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            A survey of industrial control system testbeds

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              “Industrial Control System Network Intrusion Detection by Telemetry Analysis,”

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                Author and article information

                Contributors
                Conference
                August 2018
                August 2018
                : 102-111
                Affiliations
                [1 ]AIT Austrian Institute of Technology Center for Digital Safety & Security Vienna, Austria
                [2 ]Queen’s University Belfast Center for Secure Information Technologies, Belfast, UK
                Article
                10.14236/ewic/ICS2018.12
                © Findrik 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 http://creativecommons.org/licenses/by/4.0/

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

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