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      Neural Net-Based Anomaly Detection System in Substation Networks

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

      Cyber Security Research

      10th-12th September 2019

      Substation, Electric Power Systems, Anomaly Detection, IEC 60870-5-104, IEC 61850, Neural Network

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          Abstract

          Important components of the electric energy distribution systems are primary and secondary substations. Due to the incorporation of legacy communication infrastructure in these systems, they often have inherent cyber-security vulnerabilities. Further, traditional intrusion defence strategies for IT systems are often not applicable. In order to improve cyber-security in substation networks, this paper presents a neural net-based monitoring system. Further, to evaluate the applicability of the system, all experiments were conducted on a real test bed, which represents the substation domain as close as possible to reality. The proposed monitoring system covers several tasks. First, relevant network packets are acquired from network traffic and analysed. Based on these packets statistical features are extracted. Then, classes are defined, and a normal behaviour model of the network is trained by the neural net. New network traffic is compared to the model, in order to determine the nature of the traffic and identify potential anomalies. Finally, the monitoring system is evaluated by conducting several supervised and unsupervised network attacks against the test bed.

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          Most cited references 14

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          Security for Industrial Communication Systems

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            Anomaly Detection for Cybersecurity of the Substations

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              Intrusion Detection in SCADA Networks

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                Author and article information

                Contributors
                Conference
                September 2019
                September 2019
                : 41-48
                Affiliations
                Limes Security

                Hagenberg, Austria

                www.limessecurity.com
                University of Applied Sciences

                St. Pölten

                Institute of IT Security Research

                St. Pölten, Austria

                www.fhstp.ac.at
                Article
                10.14236/ewic/icscsr19.6
                © Philipp Kreimel 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
                ICS-CSR
                6
                Athens, Greece
                10th-12th September 2019
                Electronic Workshops in Computing (eWiC)
                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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