Distributed Optimal and Self-Tuning Filters Based on Compressed Data for Networked Stochastic Uncertain Systems with Deception Attacks

• Published in: Sensors (Basel, Switzerland) Vol. 23; no. 1; p. 335
• Main Authors: Ma, Yimin, Sun, Shuli
• Format: Journal Article
• Language: English
• Published: Switzerland MDPI AG 28.12.2022; MDPI
• Subjects: Algorithms; Analysis; Data compression; Deception; distributed self-tuning filter; identification; Measuring instruments; multiplicative noise; Network security; Noise; Safety and security measures; Sensors; unknown attack rate; weighted measurement fusion; unknown attack rate; distributed self-tuning filter; identification; weighted measurement fusion; multiplicative noise

In this study, distributed security estimation problems for networked stochastic uncertain systems subject to stochastic deception attacks are investigated. In sensor networks, the measurement data of sensor nodes may be attacked maliciously in the process of data exchange between sensors. When the...