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      Identifying S7comm Protocol Data Injection Attacks in Cyber-Physical Systems

      1 , 1 , 1
      5th International Symposium for ICS & SCADA Cyber Security Research 2018 (ICS-CSR 2018)
      ICS & SCADA Cyber Security Research
      29 - 30 August 2018
      Cyber-Physical System, Anomaly Detection, S7 Communication Protocol


            Cyber-physical systems are found in production and industrial systems, as well as critical infrastructures which play a crucial role in our society. The integration of standard computing devices and IP-based technology in cyber-physical systems increases the threat of cyber-attacks. Furthermore, traditional intrusion defense strategies are often not applicable in industrial environments. This paper focuses on the widely used Siemens S7 communication protocol and presents an approach to detect anomalies in network packets by training a model with neural networks and applying the model on current network traffic. In order to stay close to practice we built an experimental setup with industry controllers, sensors and actuators. To check the applicability of the model we launched supervised S7 protocol attacks against the setup. The results show that this approach can detect anomalous network packets with satisfactory accuracy.


            Author and article information

            URI : www.fhstp.ac.at
            URI : www.fhstp.ac.at
            URI : www.fhstp.ac.at
            August 2018
            August 2018
            : 51-56
            [1 ]University of Applied Sciences, St. Pölten, Institute of IT Security Research, St. Pölten, Austria
            © Eigner 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
            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 (article page): https://www.scienceopen.com/hosted-document?doi=10.14236/ewic/ICS2018.6
            Self URI (journal page): https://ewic.bcs.org/
            Electronic Workshops in Computing

            Applied computer science,Computer science,Security & Cryptology,Graphics & Multimedia design,General computer science,Human-computer-interaction
            Anomaly Detection,Cyber-Physical System,S7 Communication Protocol


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