Differential Privacy Design for Eavesdroppers via Signed Networks

This article focuses on the private security of multiagent systems with external eavesdroppers. Note that the agent data/states finally reach the same value by using the consensus-based anti-eavesdroppers protocol with Laplace noises, which leads to the leakage possibility of the terminal information. To this end, a novel differential privacy protocol is designed based on directed signed networks, which yields the performance of <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$\xi$</tex-math></inline-formula>-differential privacy-preserving. To further reveal the effects of eavesdroppers on the system, the privacy disclosure proportion of groups (PDPGs) is proposed in the two cases of a single-channel eavesdropper and a multichannel eavesdropper. It is indicated that the PDPG of the resulting system does not exceed 50% even if the malicious adversary has the ability to crack the privacy-preserving mechanism. The effectiveness of the approach and its superiority over state-of-the-art counterparts are confirmed through numerical simulations.

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Publication Details

Journal
IEEE Transactions on Industrial Informatics
Published
2025-07-14
DOI
https://doi.org/10.1109/tii.2025.3585142
Primary Topic
Privacy-Preserving Technologies in Data
Type
article
Field-Weighted Citation Impact
0.00

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article

Differential Privacy Design for Eavesdroppers via Signed Networks

Jing Zhang, Yize Yang, Jun Yang, Yang‐Yang Chen
IEEE Transactions on Industrial Informatics
Privacy-Preserving Technologies in Data
article

Differential Privacy Design for Eavesdroppers via Signed Networks

Jing Zhang, Yize Yang, Jun Yang, Yang‐Yang Chen
article en

Abstract

This article focuses on the private security of multiagent systems with external eavesdroppers. Note that the agent data/states finally reach the same value by using the consensus-based anti-eavesdroppers protocol with Laplace noises, which leads to the leakage possibility of the terminal information. To this end, a novel differential privacy protocol is designed based on directed signed networks, which yields the performance of <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$\xi$</tex-math></inline-formula>-differential privacy-preserving. To further reveal the effects of eavesdroppers on the system, the privacy disclosure proportion of groups (PDPGs) is proposed in the two cases of a single-channel eavesdropper and a multichannel eavesdropper. It is indicated that the PDPG of the resulting system does not exceed 50% even if the malicious adversary has the ability to crack the privacy-preserving mechanism. The effectiveness of the approach and its superiority over state-of-the-art counterparts are confirmed through numerical simulations.

IEEE Transactions on Industrial InformaticsVol. 21(10)
Loughborough University (GB), Southeast University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 92%
Privacy-Preserving Technologies in Data
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Differential Privacy Design for Eavesdroppers via Signed Networks — Jing Zhang, Yize Yang, et al. · IEEE Transactions on Industrial Informatics (2025) | TGRS Research Map | TGRS