Electrical & Computer Engineering: Faculty Publications

Low-Computational Complexity Intrusion Detection System for Jamming Attacks in Smart Grids

Document Type

Conference Proceeding

Publication Date

6-19-2018

Publication Title

2018 International Conference on Computing, Networking and Communications, ICNC 2018

DOI

10.1109/ICCNC.2018.8390345

Abstract

Transformation of the traditional power grid into a smart grid hosts an array of vulnerabilities associated with communication networks. Furthermore, wireless mediums used throughout the smart grid promote an environment where Denial of Service (DoS) attacks are very effective. In wireless mediums, jamming is the typical DoS attack technique employed to diminish system operations thus affecting smart grid stability. In this study, an intrusion detection system (IDS) is proposed to detect jamming attacks in the smart grid. This IDS algorithm analyzes received signal strength indicator (RSSI) and packet loss rate (PLR) of 802.11 network traffic in smart grid communication systems to detect jamming attacks. Experimental results corroborate theoretical analysis.

Comments

Georgia Southern University faculty members, Rami J. Haddad and Lei Chen co-authored, "Low-Computational Complexity Intrusion Detection System for Jamming Attacks in Smart Grids."

Copyright

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