# On the performance analysis of resilient networked control systems under replay attacks

arXiv: https://arxiv.org/abs/1307.2790 · HTML: https://mlsanity.com/paper/1307.2790/

## Key facts

- Cited by 3 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 10 Jul 2013.

## Built on by (most cited first, 3 of 3)

- [A Secure Learning Control Strategy via Dynamic Camouflaging for Unknown Dynamical Systems under Attacks](https://mlsanity.com/paper/2102.00573/) (2021)
- [Online Planning of Power Flows for Power Systems Against Bushfires Using Spatial Context](https://mlsanity.com/paper/2404.13391/) (2024)
- [Fundamental Limits of Man-in-the-Middle Attack Detection in Model-Free Reinforcement Learning](https://mlsanity.com/paper/2603.27592/) (2026)

## Abstract (arXiv)

This paper studies a resilient control problem for discrete-time, linear time-invariant systems subject to state and input constraints. State measurements and control commands are transmitted over a communication network and could be corrupted by adversaries. In particular, we consider the replay attackers who maliciously repeat the messages sent from the operator to the actuator. We propose a variation of the receding-horizon control law to deal with the replay attacks and analyze the resulting system performance degradation. A class of competitive (resp. cooperative) resource allocation problems for resilient networked control systems is also investigated.