可验证的基于区块链的多客户端动态数据检索

IF 6.2 2区 计算机科学 Q1 COMPUTER SCIENCE, THEORY & METHODS
Anqi Jiang, Jianfeng Wang, Wanxuan Huang
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引用次数: 0

摘要

基于区块链的可验证动态可搜索对称加密(BV-DSSE)使用户能够在数据可更新的分散存储场景中高效检索数据并公开验证结果。然而,现有的BV-DSSE方案必须在区块链上存储更大的数据结构才能完成结果验证,这使得链上的计算和存储开销很大。此外,为了提高数据利用率和保证隐私检索,提出了一种多客户端可撤销BV-DSSE,可以撤销恶意用户的访问权限。然而,现有的解决方案在去中心化存储场景中实现起来既昂贵又具有挑战性。提出了一种有效的可撤销多客户端BV-DSSE方案,具有前向和后向III型安全性。首先,我们提出了一个基于多集哈希函数和区块链的多客户端BV-DSSE,实现了前向和III型后向安全,同时最大限度地减少了用户和链上操作的存储和计算开销。其次,提出了一种基于可更新加密技术的高效恶意用户撤销协议,并引入了两层访问控制机制,防止未经授权的用户访问隐私数据。最后,我们实现了我们提出的方案,并将其与现有的最先进的解决方案进行了比较,表明我们的方案具有更低的存储和撤销开销。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Verifiable multi-client blockchain-based dynamic data retrieval
Blockchain-based verifiable dynamic searchable symmetric encryption (BV-DSSE) enables users to retrieve data efficiently and publicly verify results in data-updatable decentralized storage scenarios. However, the existing BV-DSSE schemes have to store larger data structures on the blockchain to complete the result verification, which makes the computation and storage overhead on the chain substantial. In addition, to enhance data utilization and ensure privacy retrieval, a multi-client revocable BV-DSSE has been proposed that can revoke access rights for malicious users. However, existing solutions are expensive and challenging to implement in decentralized storage scenarios. This paper proposes an efficient revocable multi-client BV-DSSE scheme with forward and Type III backward security. Firstly, we present a multi-client BV-DSSE relying on multiset hash functions and blockchain, achieving forward and Type III backward security while minimizing storage and computational overhead for users and on-chain operations. Secondly, we propose an efficient malicious user revocation protocol based on updatable encryption technology and introduce a two-tier access control mechanism to prevent unauthorized users from accessing private data. Finally, we implement and compare our proposed scheme with existing state-of-the-art solutions, indicating that our scheme has far lower storage and revocation overheads.
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来源期刊
CiteScore
19.90
自引率
2.70%
发文量
376
审稿时长
10.6 months
期刊介绍: Computing infrastructures and systems are constantly evolving, resulting in increasingly complex and collaborative scientific applications. To cope with these advancements, there is a growing need for collaborative tools that can effectively map, control, and execute these applications. Furthermore, with the explosion of Big Data, there is a requirement for innovative methods and infrastructures to collect, analyze, and derive meaningful insights from the vast amount of data generated. This necessitates the integration of computational and storage capabilities, databases, sensors, and human collaboration. Future Generation Computer Systems aims to pioneer advancements in distributed systems, collaborative environments, high-performance computing, and Big Data analytics. It strives to stay at the forefront of developments in grids, clouds, and the Internet of Things (IoT) to effectively address the challenges posed by these wide-area, fully distributed sensing and computing systems.
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