Fuzzy-Based Optimization for Effective Detection of Smart Grid Cyber-Attacks

Author(s): Saif Ahmad* and Zubair A. Baig
Department of Computer Engineering, King Fahd University of Petroleum & Minerals, Dhahran, 31261, Saudi Arabia
International Journal of Smart Grid and Clean Energy, vol. 1, no. 1, September 2012: pp. 15–21
ISSN: 2315-4462
Digital Object Identifier: 10.12720/sgce.1.1.15-21

Abstract: The smart grid is envisioned to be a completely automated infrastructure that will require little or no human intervention to address growing demands of the grid consumers. This is made possible by the integration of latest information and communications technologies (ICT) into the power grid. The various sensors installed in the smart grid have the capability to report back information related to power consumption, billing and other significant readings. However, this integration of technology also raises several concerns about the protection of the smart grid against cyber-attacks. The security challenges presented by the smart grid are unique and cannot be overcome with existing security solutions. This work presents a fuzzy logic based scheme that enables us to achieve a realistic tradeoff between attack detection rate and cost of inter-device communication, for detecting smart grid cyber attacks. Simulation results provide strong findings to establish the need for fuzzy logic as a means to address the issue of cost-detection rate tradeoff problem efficiently.
Keywords: Anomaly detection, device implant attacks, fuzzy logic, smart grid, smart meter

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