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Detecting Cyber Attacks in Power System AGC Using a Drifted Ornstein-Uhlenbeck Process

arXiv:2606.02075v1 Announce Type: new Abstract: The Automatic Generation Control (AGC) system, reliant on real-time measurements over communication networks, is susceptible to stealthy false data injection attacks (FDIAs), risking equipment damage and economic losses. We propose a robust FDIA detection method using maximum likelihood estimation (MLE) of a drifted multivariate Ornstein-Uhlenbeck (OU) process.

arXiv CS 8d ago

Malaysia drops probe into ex-anti-corruption chief Azam Baki, says ‘no further action’

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South China Morning Post 11h ago