ESIC Seminar Liu Nov 12

Enhancing Cybersecurity in Smart Grids: Modeling Stealthy Cyberattacks and Implementing Moving Target Defense
Smart grids integrate information and communication technology-enabled devices and Internet of Things technologies to facilitate the transition to decarbonization and electrification. However, these devices also introduce cybersecurity vulnerabilities. The false data injection (FDI) attack is one of the cyberattacks that cause severe consequences against smart grids. With the growing adoption of machine-learning-based cyberattack detectors in power systems, this session will assess the limitations of machine-learning detectors. The presenter will present a novel method for constructing highly stealthy false data injection attacks that bypass machine-learning detectors. Afterward, he will present the implementation of moving target defense in the physical layer of the power system to detect cyberattacks considering the cost, attack detection, and hiddenness.