Distributed Bias Detection in Cyber-Physical Systems

Author

Simon Thougaard
Bruce M. McMillin, Missouri University of Science and TechnologyFollow

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," 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

Meeting Name

IFIP Advances in Information and Communication Technology

Department(s)

Computer Science

Comments

National Science Foundation, Grant CNS-1837472

Keywords and Phrases

bias attacks; Cyber-physical systems; privacy; security; smart grid

International Standard Book Number (ISBN)

978-303062839-0

International Standard Serial Number (ISSN)

1868-4238; 1868-422X

Document Type

Article - Conference proceedings

Document Version

Citation

File Type

text

Language(s)

English

Rights

© 2020 Springer Verlag, All rights reserved.

Publication Date

01 Jan 2020