An Online Cross-Layered Defense Strategy With Bandwidth Allocation for Multichannel Systems Under DoS Attacks

This paper proposes an online cross-layered defense strategy for multi-channel systems with switched dynamics under DoS attacks. The enabling condition of a channel under attacks is formulated with respect to attack flow and channel bandwidth, then a new networked control system model bridging the gap between system dynamics and network deployment is built. Based on this, the cross-layered defense strategy is proposed. It jointly optimizes the controller gain and bandwidth allocation of channels according to the real-time attack flow and system dynamics, by solving a mixed-integer semidefinite programming online. A smart enumeration algorithm for non-convex bi-level optimization is proposed to analyze the stability under the strategy. Numerical examples are given to illustrate the high resilience from the cross-layered feature.

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Publication Details

Journal
IEEE Transactions on Automatic Control
Published
2025-05-05
DOI
https://doi.org/10.1109/tac.2025.3566921
Primary Topic
Network Security and Intrusion Detection
Type
article
Field-Weighted Citation Impact
0.00
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article

An Online Cross-Layered Defense Strategy With Bandwidth Allocation for Multichannel Systems Under DoS Attacks

Panshuo Li, Liheng Wan, James Lam
IEEE Transactions on Automatic Control
Network Security and Intrusion Detection
article

An Online Cross-Layered Defense Strategy With Bandwidth Allocation for Multichannel Systems Under DoS Attacks

Panshuo Li, Liheng Wan, James Lam
article en

Abstract

This paper proposes an online cross-layered defense strategy for multi-channel systems with switched dynamics under DoS attacks. The enabling condition of a channel under attacks is formulated with respect to attack flow and channel bandwidth, then a new networked control system model bridging the gap between system dynamics and network deployment is built. Based on this, the cross-layered defense strategy is proposed. It jointly optimizes the controller gain and bandwidth allocation of channels according to the real-time attack flow and system dynamics, by solving a mixed-integer semidefinite programming online. A smart enumeration algorithm for non-convex bi-level optimization is proposed to analyze the stability under the strategy. Numerical examples are given to illustrate the high resilience from the cross-layered feature.

IEEE Transactions on Automatic ControlVol. 70(10)
Guangdong University of Technology (CN), University of Hong Kong (HK)
Openalex Percentile: Top 91%
Network Security and Intrusion Detection
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