Resilient Control under Denial-of-Service

TL;DR

This paper develops resilient control strategies for linear systems facing DoS attacks, enabling stability by adapting sampling rates during communication interruptions caused by malicious adversaries.

Contribution

It introduces a method to maintain system stability under DoS attacks by adjusting sampling rates, a novel approach for resilient control in cyber-physical systems.

Findings

Stability is preserved under certain DoS duration conditions.

Adaptive sampling effectively counters communication interruptions.

The approach enhances system resilience against intelligent adversaries.

Abstract

We investigate resilient control strategies for linear systems under Denial-of-Service (DoS) attacks. By DoS attacks we mean interruptions of communication on measurement (sensor-to-controller) and/or control (controller-to-actuator) channels carried out by an intelligent adversary. We characterize the duration of these interruptions under which stability of the closed-loop system is preserved. The resilient nature of the control descends from its ability to adapt the sampling rate to the occurrence of the DoS.