“Cosine similarity detector” was proposed to detect False Data Injection (FDI) attacks in smart grid scenario.
Request PDF | On Dec 1, 2019, Yeshwant Manchuri and others published Detection of False Data Injection Attacks on CPS Using Coded Cosine Similarity Tests ...
“Cosine similarity detector” was proposed to detect False Data Injection (FDI) attacks in smart grid scenario. However, we show that there exists attack vectors ...
The cosine similarity matching approach is found to be robust for detecting false data injection attacks as well as other attacks in the smart grids. Once the ...
Oct 23, 2023 · In this paper, a false data attack detection method based on weighted least squares (WLS) and an adaptive interpolation extended Kalman filter (AIEKF) is ...
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This study provides a comprehensive review of the most up-to-date machine learning methods for detecting FDIAs against power system SE algorithms.
This structure maximizes the probability of correctly detecting an attack while maintaining the probability of false alarm in the chi-squared detector. We ...
Aug 11, 2021 · Many CPS systems lack cybersecurity mechanisms like message authentication, resulting in challenges to detect false data injection attacks. A ...
In this thesis we study a detection method for the false data injection (FDI) attack class on discrete-time nonlinear multi-agent systems.
In this paper, we propose a detection method of false data injection (FDI) attacks. FDI attacks cannot be detected from the estimation error in ...