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Tampering Attack Detection for Remote State Estimation With Quantized Observations

delete2024-01-01
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PRE
AI
M
Mengqi Li
Y
Yanpeng Hu *
郭
郭金 (Jin Guo)
DOI:10.1109/LSP.2024.3449242delete
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摘要

摘要

En 中文
Aiming at the security problem of cyber physical system (CPS), this paper designs and evaluates a tampering attack detection scheme for remote state estimation with quantized observations. When the transmitted information is quantized and the attacker randomly tampers it with a certain probability, we design a detection algorithm with a given error threshold based on the received data. Moreover, we proposes detection performance indexes, leakage detection rate and false detection rate, for the above algorithm, which are used to measure the algorithm performance to discriminate the tampered data, and further analyzes the impact of the attack strategy and the error threshold on performance indexes. Finally, simulations are designed to verify the theoretical results.
Keyword:
Estimation
State estimation
Technological innovation
Detectors
Signal processing algorithms
Sensors
Cyberattack
Attack detection
binary quantized observations
data tampering
performance evaluation
state estimation

期刊

IEEE Signal Processing Magazine 封面图
IEEE Signal Processing Magazine
IF:
9.6
论文数:
1.1W
被引数:
1.7W

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