Linear system security -- detection and correction of adversarial attacks in the noise-free case
For control systems engineers, this work provides a framework to detect and correct adversarial sensor attacks, though it is limited to noise-free cases and incremental in nature.
The paper addresses attack detection and correction for multi-output discrete-time linear time-invariant systems under sensor attack, defining a 'security index' to characterize vulnerability and presenting methods to compute it along with detection and correction algorithms. Results are illustrated with examples involving multiple sensors.
We address the problem of attack detection and attack correction for multi-output discrete-time linear time-invariant systems under sensor attack. More specifically, we focus on the situation where adversarial attack signals are added to some of the system's output signals. A 'security index' is defined to characterize the vulnerability of a system against such sensor attacks. Methods to compute the security index are presented as are algorithms to detect and correct for sensor attacks. The results are illustrated by examples involving multiple sensors.