How vulnerable is innovation-based remote state estimation: fundamental limits under linear attacks

• Main Authors: Liu, Hanxiao, Ni, Yuqing, Xie, Lihua, Johansson, Karl Henrik
• Other Authors: School of Electrical and Electronic Engineering
• Format: Article
• Language: English
• Published: 2022
• Subjects: Engineering::Electrical and electronic engineering; Error Covariances; Estimation Errors
• Online Access: https://hdl.handle.net/10356/161750
• Institution: Nanyang Technological University

This paper is concerned with the problem of how secure the innovation-based remote state estimation can be under linear attacks. A linear time-invariant system equipped with a smart sensor is studied. A metric based on Kullback–Leibler divergence is adopted to characterize the stealthiness of the at...