Decentralized False-Data Injection Attacks Against State Omniscience: Existence and Security Analysis

• Published in: IEEE transactions on automatic control Vol. 68; no. 8; pp. 4634 - 4649
• Main Authors: Zhang, Tian-Yu, Ye, Dan, Shi, Yang
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.08.2023; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Complete stealthiness; cyber-physical system security; decentralized false-data injection (DFDI) attacks; Detectors; distributed observers; Eigenvalues; Eigenvalues and eigenfunctions; Estimation error; Kalman filters; Observers; Security; Sensors; Sequences; state omniscience; Wireless communication

This article focuses on how false-data injection (FDI) attacks compromise state omniscience, which needs each node in a jointly detectable sensor network to estimate the entire plant state through distributed observers. To reveal the global vulnerability of state omniscience, we investigate decentra...