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      FARIMA model-based communication traffic anomaly detection in intelligent electric power substations

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          Abstract

          The technological advances of intelligent electric substations have significantly improved the operational performance of power utilities by incorporating advanced monitoring and control functionalities. The data traffic patterns in substation communication network (SCN) need to be better understood to improve the SCN performance against different forms of cyber-attacks. To this end, this study presents a fractional auto-regressive integrated moving average (FARIMA)-based threshold model to characterise the SCN traffic flow based on the IEC 61850 protocol and carry out anomaly detection. The performance of the proposed anomaly detection solution is assessed and validated through numerical analysis under the condition of the cyber storm based on the collected SCN data traffic from a real 110 kV substation, and the numerical results clearly confirmed its effectiveness.

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          A new look at the statistical model dentification

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            Smart Transmission Grid: Vision and Framework

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                Author and article information

                Contributors
                Journal
                IET-CPS
                IET Cyber-Physical Systems: Theory & Applications
                IET Cyber-Phys. Syst., Theory Appl.
                The Institution of Engineering and Technology
                2398-3396
                2398-3396
                19 October 2018
                10 December 2018
                March 2019
                : 4
                : 1
                : 22-29
                Affiliations
                [1 ] College of Electrical Engineering, Zhejiang University , Hangzhou 310027, People's Republic of China
                [2 ] School of Electrical Information and Engineering, Tianjin University , Tianjin 300072, People's Republic of China
                [3 ] College of Control Science and Engineering, Zhejiang University , Hangzhou 310027, People's Republic of China
                [4 ] State Grid Tianjin Electric Power Company , Tianjin 300010, People's Republic of China
                Article
                IET-CPS.2018.5052 CPS.2018.5052
                10.1049/iet-cps.2018.5052

                This is an open access article published by the IET under the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/3.0/)

                Page count
                Pages: 0
                Product
                Categories
                Special Issue: Cyber-Physical Systems for Power Distribution Systems

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