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Deep Reinforcement Learning for Cybersecurity Assessment of Wind Integrated Power Systems.

, , and . IEEE Access, (2020)

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Data-Driven Fault-Tolerant Tracking Control for Linear Parameter-Varying Systems., , , and . IEEE Access, (2022)CPES-QSM: A Quantitative Method Toward the Secure Operation of Cyber-Physical Energy Systems., , and . IEEE Internet Things J., 10 (9, May 1): 7577-7590 (2023)Detection of Malicious Attacks in Autonomous Cyber-Physical Inverter-Based Microgrids., and . IEEE Trans. Ind. Informatics, 18 (9): 5815-5826 (2022)Cybersecurity for the Smart Grid., and . Computer, 53 (5): 10-12 (2020)Physics-Informed Neural Networks for Securing Water Distribution Systems., , and . CoRR, (2020)Process-Aware Attacks on Medication Control of Type-I Diabetics Using Infusion Pumps., , , and . IEEE Syst. J., 17 (2): 1831-1842 (June 2023)A Modular End-to-End Framework for Secure Firmware Updates on Embedded Systems., , and . ACM J. Emerg. Technol. Comput. Syst., 18 (1): 3:1-3:19 (2022)Experimental Impact Analysis of Cyberattacks in Power Systems using Digital Real-Time Testbeds., , , and . CoRR, (2023)CPES-QSM: A Quantitative Method Towards the Secure Operation of Cyber-Physical Energy Systems., , and . CoRR, (2022)Cyber-Physical Energy Systems Security: Threat Modeling, Risk Assessment, Resources, Metrics, and Case Studies., , , and . CoRR, (2021)