Quantized Distributed Nash Equilibrium Seeking Under DoS Attacks

This article studies distributed Nash equilibrium (NE) seeking under denial-of-service (DoS) attacks and quantization. The players can only exchange information with their own direct neighbors. The transmitted information is subject to quantization and packet losses induced by malicious DoS attacks. We propose a quantized distributed NE seeking strategy based on the approach of dynamic quantized consensus. To solve the quantizer saturation problem caused by DoS attacks, the quantization mechanism is equipped to have zooming-in and holding capabilities, in which the holding capability is consistent with the results in quantized consensus under DoS. A sufficient condition on the number of quantizer levels is provided, under which the quantizers are free from saturation under DoS attacks. The proposed distributed quantized NE seeking strategy is shown to have the so-called maximum resilience to DoS attacks. Namely, if the bound characterizing the maximum resilience is violated, an attacker can deny all the transmissions, and hence, distributed NE seeking is impossible.

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Publication Details

Journal
IEEE Transactions on Control of Network Systems
Published
2025-02-18
DOI
https://doi.org/10.1109/tcns.2025.3543666
Citations
5
Primary Topic
Auction Theory and Applications
Type
article
Field-Weighted Citation Impact
10.53
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article

Quantized Distributed Nash Equilibrium Seeking Under DoS Attacks

Maojiao Ye, Shuai Feng, Shengyuan Xu, Lihua Xie
5 citations
IEEE Transactions on Control of Network Systems
Auction Theory and Applications
10.53
article

Quantized Distributed Nash Equilibrium Seeking Under DoS Attacks

Maojiao Ye, Shuai Feng, Shengyuan Xu, Lihua Xie
article en
5 citations

Abstract

This article studies distributed Nash equilibrium (NE) seeking under denial-of-service (DoS) attacks and quantization. The players can only exchange information with their own direct neighbors. The transmitted information is subject to quantization and packet losses induced by malicious DoS attacks. We propose a quantized distributed NE seeking strategy based on the approach of dynamic quantized consensus. To solve the quantizer saturation problem caused by DoS attacks, the quantization mechanism is equipped to have zooming-in and holding capabilities, in which the holding capability is consistent with the results in quantized consensus under DoS. A sufficient condition on the number of quantizer levels is provided, under which the quantizers are free from saturation under DoS attacks. The proposed distributed quantized NE seeking strategy is shown to have the so-called maximum resilience to DoS attacks. Namely, if the bound characterizing the maximum resilience is violated, an attacker can deny all the transmissions, and hence, distributed NE seeking is impossible.

IEEE Transactions on Control of Network SystemsVol. 12(3)
Nanyang Technological University (SG), Nanjing University of Science and Technology (CN)
Reduced inequalities
Openalex Percentile: Top 2%
Auction Theory and Applications
10.53
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Quantized Distributed Nash Equilibrium Seeking Under DoS Attacks — Maojiao Ye, Shuai Feng, et al. · IEEE Transactions on Control of Network Systems (2025) | TGRS Research Map | TGRS