Title

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.

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

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