Distributed Bias Detection in Cyber-Physical Systems
Abstract
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.
Recommended Citation
S. Thougaard and B. M. McMillin, "Distributed Bias Detection in Cyber-Physical Systems," Critical Infrastructure Protection, vol. XIV, Springer, Mar 2020.
Department(s)
Computer Science
Research Center/Lab(s)
Center for Research in Energy and Environment (CREE)
Document Type
Article - Journal
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2020 Springer, All rights reserved.
Publication Date
01 Mar 2020