PROGRAMMABLE ADAPTIVE SECURITY SCANNING FOR NETWORKED MICROGRIDS

Programmable Adaptive Security Scanning for Networked Microgrids

Programmable Adaptive Security Scanning for Networked Microgrids

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Communication-dependent and software-based distributed energy resources (DERs) are extensively integrated into modern microgrids, providing extensive benefits such as increased distributed controllability, scalability, and observability.However, malicious cyber-attackers can exploit various potential vulnerabilities.In this study, a programmable adaptive security scanning (PASS) approach Kids Rashguard is presented to protect DER inverters against various power-bot attacks.

Specifically, three different types of attacks, namely controller manipulation, replay, and injection attacks, are considered.This approach employs both software-defined networking technique and a novel coordinated detection Outdoor method capable of enabling programmable and scalable networked microgrids (NMs) in an ultra-resilient, time-saving, and autonomous manner.The coordinated detection method efficiently identifies the location and type of power-bot attacks without disrupting normal NM operations.

Extensive simulation results validate the efficacy and practicality of the PASS for securing NMs.

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