Enhancing Security and Robustness of Contextual Human-Centric Sensing [PDF]
The rapid advancements in deep learning and smart hardware have accelerated the development of various automatic human-centric sensing applications. However, the intrusive nature of these sensing applications and the heterogeneity of sensory data pose ...
Xin, Jingyu
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Coordinated Risk Mitigation Strategy for Integrated Energy Systems under Cyber-Attacks [PDF]
, 2020 Gu, Chenghong, Huo, Da, Zhao, Pengfei
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Impact, Vulnerabilities, and Mitigation Strategies for Cyber-Secure Critical Infrastructure. [PDF]
Sensors (Basel), 2023 Riggs H +7 more
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FalsEye: proactive detection of false data injection attacks in smart grids using IceCube-optimised ensemble learning. [PDF]
Sci RepSheta AN +4 more
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Detection of False Data Injection Attacks in Smart Grids Based on Expectation Maximization. [PDF]
Sensors (Basel), 2023 Hu P, Gao W, Li Y, Wu M, Hua F, Qiao L.
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Enhancing cybersecurity in virtual power plants by detecting network based cyber attacks using an unsupervised autoencoder approach. [PDF]
Sci RepSingh KN +4 more
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Cyber attack and fault detection in DC microgrids by designing an event-triggered based-robust algorithm. [PDF]
Sci RepHosseini Rostami SM +2 more
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False Data Injection Impact on High RES Power Systems with Centralized Voltage Regulation Architecture. [PDF]
Sensors (Basel), 2023 Bragatto T +5 more
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AI-driven cybersecurity framework for anomaly detection in power systems. [PDF]
Sci RepV M V +4 more
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Controllable Blind AC FDIA via Physics-Informed Extrapolative AVAE. [PDF]
Sensors (Basel)Zhao S, Luo W, Shu Q, Xu F.
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