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Open Access

Blockchain-Driven Secure Data Sharing Framework for Edge Computing Networks

Department of Computer Science, King Khalid University, Muhayel Aseer 62529, Saudi Arabia
Faculty of Information Science and Technology, University Kebangassan Malaysia, Bangi 43600, Malaysia
Department of Information System, King Khalid University, Muhayel Aseer 62529, Saudi Arabia
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Abstract

This study examines secure and effective data sharing methods for edge computing networks. Traditional methods of sharing data at the edge have issues with security, speed, and consensus. The goal is to develop a Blockchain-based Secure Data Sharing Framework (BSDSF) capable of improving data integrity, latency, and overall network efficiency for edge-cloud computing applications. BSDSF proposes using blockchain technology with Byzantine Fault Tolerance (BFT) and smart contract-based validation as a new method of secure data sharing. It has a two-tiered consensus protocol to meet the needs of edge computing, which requires instantaneous responses. BSDSF employs Byzantine fault tolerance to deal with errors and protect against attacks. Smart contracts automate validation and consensus operations, while edge computing processes data at the attack site. Node validation and failure detection methods monitor network quality and dependability, while system security ensures secure communication between nodes. BSDSF is an important step toward digital freedom and trust by protecting security and improving transaction reliability. The framework demonstrates a reduction in transaction latency by up to 30% and an increase in throughput by 25% compared to traditional edge computing models, positioning BSDSF as a pivotal solution for fostering digital freedom and trust in edge computing environments.

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Tsinghua Science and Technology
Pages 978-997
Cite this article:
Al-Yarimi FAM, Salah R, Mohamoud K. Blockchain-Driven Secure Data Sharing Framework for Edge Computing Networks. Tsinghua Science and Technology, 2025, 30(3): 978-997. https://doi.org/10.26599/TST.2024.9010051

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Received: 24 December 2023
Revised: 14 February 2024
Accepted: 04 March 2024
Published: 30 December 2024
© The Author(s) 2025.

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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