Distributed Bias Detection in Cyber-Physical Systems
An attacker can effectively publish false measurements in distributed cyber-physical systems with noisy measurements. These biased false measurements can be impossible to distinguish from noise and enable the attacker to gain a small but persistent economic advantage. The residual sum, a fundamental measurement of bias in cyber-physical systems, is employed to develop a detection scheme for bias attacks. The scheme is highly efficient, privacy preserving and effectively detects bias attacks.
S. Thougaard and B. M. McMillin, "Distributed Bias Detection in Cyber-Physical Systems," IFIP Advances in Information and Communication Technology, vol. 596, pp. 245-260, Springer Verlag, Jan 2020.
The definitive version is available at https://doi.org/10.1007/978-3-030-62840-6_12
IFIP Advances in Information and Communication Technology
Keywords and Phrases
bias attacks; Cyber-physical systems; privacy; security; smart grid
International Standard Book Number (ISBN)
International Standard Serial Number (ISSN)
Article - Conference proceedings
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01 Jan 2020