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Open Access

Towards Privacy in Decentralized IoT: A Blockchain-Based Dual Response DP Mechanism

Department of Computing Technologies, Swinburne University of Technology, Melbourne 3122, Australia
School of Computer Science and Technology, Xinjiang University, Urumchi 830000, China
Shandong Computer Science Center (National Supercomputer Center in Jinan), Qilu University of Technology (Shandong Academy of Sciences), Jinan 250000, China
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Abstract

Differential Privacy (DP) stands as a secure and efficient mechanism for privacy preservation, offering enhanced data utility without compromising computational complexity. Its adaptability is evidenced by its integration into blockchain-based Internet of Things (IoT) contexts, including smart wearables, smart homes, etc. Nevertheless, a notable vulnerability surfaces in decentralized environments where existing DP mechanisms falter in withstanding collusion attacks. This vulnerability stems from the absence of an efficient strategy to synchronize the privacy budget consumption and historical query information among all network participants. Adversaries can exploit this weakness, collaborating to inject a substantial volume of queries simultaneously into disparate blockchain nodes to extract more precise results. To address this issue, we propose a novel dual response DP mechanism to preserve privacy in blockchain-based IoT scenarios. It encompasses both direct and indirect response strategies, enabling an adaptive response to external queries, aiming to provide better data utility while preserving privacy. Additionally, this mechanism can synchronize historical query information and privacy budget consumption within the blockchain network to prevent privacy leakage. We employ Relative Error (RE), Mean Square Error (MSE), and privacy budget consumption as evaluation metrics to measure the performance of the proposed mechanism. Experimental outcomes substantiate that the proposed mechanism can adapt to blockchain networks well, affirming its capacity for privacy and great utility.

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Big Data Mining and Analytics
Pages 699-717
Cite this article:
Zhang K, Tsai P-W, Tian J, et al. Towards Privacy in Decentralized IoT: A Blockchain-Based Dual Response DP Mechanism. Big Data Mining and Analytics, 2024, 7(3): 699-717. https://doi.org/10.26599/BDMA.2024.9020023

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Received: 04 January 2024
Revised: 19 February 2024
Accepted: 26 March 2024
Published: 28 August 2024
© The author(s) 2024.

The articles published in this open access journal are distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/).

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