Secure dynamic state estimation by decomposing Kalman filter

• Main Authors: Liu, Xinghua, Mo, Yilin, Garone, Emanuele
• Other Authors: School of Electrical and Electronic Engineering
• Format: Article
• Language: English
• Published: 2018
• Subjects: DRNTU::Engineering::Electrical and electronic engineering; Cyber-physical Systems; State Estimation
• Online Access: https://hdl.handle.net/10356/87830; http://hdl.handle.net/10220/46831

We consider the problem of estimating the state of a linear time-invariant Gaussian system in the presence of sparse integrity attacks. The attacker can control p out of m sensors and arbitrarily change the measurements. Under mild assumptions, we can decompose the optimal Kalman estimate as a weigh...