Distributed H\infty Secure Fusion Estimation for Energy-Constrained Multi-Sensor Systems Under Hybrid Attacks

• Published in: IEEE transactions on signal and information processing over networks Vol. 11; pp. 994 - 1004
• Main Authors: Song, Haiyu, Chen, Linyi, Chen, Bo, Zhang, Wen-An, Yu, Li
• Format: Journal Article
• Language: English
• Published: IEEE 2025
• Subjects: Costs; energy constraints; Energy consumption; Estimation; Estimation error; hybrid attacks; Information processing; multi-sensor systems; Noise; Power system stability; Secure fusion estimation; Security; State estimation; Stochastic processes
• ISSN: 2373-776X; 2373-7778
• DOI: 10.1109/TSIPN.2025.3594164

This paper investigates the distributed <inline-formula><tex-math notation="LaTeX">H_{\infty }</tex-math></inline-formula> secure fusion estimation problem for energy-constrained multi-sensor systems subject to hybrid attacks. Given the limited energy supply, sensor nodes operate in two modes: high-energy mode, which ensures robust security during information transmission, and low-energy mode, which makes transmissions more vulnerable to hybrid attacks. The phenomenon of hybrid attacks is described as the stochastic occurrence of false data injection (FDI) and denial-of-service (DoS) attacks in the communication channels from sensors to local estimators. To handle these challenges, we propose a novel distributed <inline-formula><tex-math notation="LaTeX">H_{\infty }</tex-math></inline-formula> secure fusion estimation model designed specifically for energy-constrained multi-sensor systems under hybrid attacks scenarios. Subsequently, sufficient conditions are derived to ensure that the secure fusion estimation error system achieves exponential mean-square stability and <inline-formula><tex-math notation="LaTeX">H_{\infty }</tex-math></inline-formula> performance level. Additionally, the design of optimal fusion weight matrices is addressed. Finally, the effectiveness of the proposed distributed <inline-formula><tex-math notation="LaTeX">H_{\infty }</tex-math></inline-formula> secure fusion estimation method is demonstrated through an illustrative example.