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- W3110367227 abstract "Microgrids (MGs) have been proposed to meet some of our electricity needs by incorporating renewable energy sources and energy storage systems into isolated portions of the electrical distribution network. The coordination of these MG devices is performed by a centralized controller which can act in an unanticipated manner when faced with falsified input caused by a cyberattack. MG security research generally focuses on characterizing or preventing attacks on MG devices and communication infrastructure. We instead investigate security concerns in MG control logic and analyze how the underlying control algorithm may be exploited. This paper demonstrates a framework for uncovering vulnerabilities in MG controller algorithms that could be exploited by a cyber-capable adversary. Experimental results using a simulated MG developed in Matlab/Simulink show the controller is less performant when faced with various False Data Injection (FDI) attack scenarios." @default.
- W3110367227 created "2020-12-07" @default.
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- W3110367227 date "2020-08-30" @default.
- W3110367227 modified "2023-10-16" @default.
- W3110367227 title "Analyzing the Resiliency of Microgrid Control Algorithms Against Malicious Input" @default.
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- W3110367227 doi "https://doi.org/10.1109/ccece47787.2020.9255704" @default.
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