Data Rates for Stabilizing Control under Denial-of-Service Attacks
Shuai Feng, Ahmet Cetinkaya, Hideaki Ishii, Pietro Tesi, Claudio De, Persis

TL;DR
This paper investigates the relationship between network bandwidth and system resilience in control systems under DoS attacks, proposing bounds and protocols to maintain stability with minimal communication.
Contribution
It characterizes bit-rate bounds based on system dynamics and attack parameters, and designs adaptive protocols to optimize communication efficiency under DoS conditions.
Findings
Derived bounds for bit-rate ensuring stability under DoS attacks
Proposed adaptive bit-rate protocols maintaining robustness with fewer bits
Illustrated the trade-off between bandwidth and resilience with an example
Abstract
We study communication-constrained networked control problems for linear time-invariant systems in the presence of Denial-of-Service (DoS) attacks, namely attacks that prevent transmissions over the communication network. Our work aims at exploring the relationship between system resilience and network bandwidth capacity. Given a class of DoS attacks, we first characterize time-invariant bit-rate bounds that are dependent on the unstable eigenvalues of the dynamic matrix of the plant and the parameters of DoS attacks, beyond which exponential stability of the closed-loop system can be guaranteed. Second, we design the time-varying bit-rate protocol and show that it can enable the system to maintain the comparable robustness as the one under the time-invariant bit-rate protocol and meanwhile promote the possibility of transmitting fewer bits especially when the attack levels are low. Our…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsSmart Grid Security and Resilience · Stability and Control of Uncertain Systems · Network Time Synchronization Technologies
