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," Critical Infrastructure Protection, vol. XIV, Springer, Mar 2020.
Center for Research in Energy and Environment (CREE)
Article - Journal
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01 Mar 2020