为云存储实现高效的重复数据消除和安全的去中心化公共审计:一种可还原的区块链方法

IF 2.5 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS ACM Transactions on Management Information Systems Pub Date : 2023-01-30 DOI:10.1145/3578555
Rahul Mishra, D. Ramesh, S. Kanhere, D. Edla
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引用次数: 0

摘要

在提供高效安全的云存储服务时,公共审计和重复数据消除是不可或缺的考虑因素。尽管如此,支持公共审计的传统重复数据消除模型可以承受由于数据冗余和多个租户对可信第三方审计师(TPA)的重复审计工作而导致的存储和计算资源的巨大浪费。在这项工作中,我们在具有高效重复数据消除模型的去中心化云存储中引入了基于区块链的安全去中心化公共审计。我们使用区块链来承担集中式TPA的任务,这也通过使用去中心化自治组织(DAO)的概念来减轻恶意区块链矿工的影响。具体而言,我们采用区块链可编辑性的思想来处理经常被忽视的安全问题,这些问题会对去中心化审计模型中区块链上存储的审计记录的完整性产生不利影响。然而,所提出的模型还采用了一种高效的重复数据消除方案,以获得足够的存储节省,同时保护用户免受重复伪造攻击造成的数据丢失。此外,详细的具体安全分析证明了所提出的模型在高效抵御所有权证明、重复伪造攻击(DFA)、共谋攻击、存储搭便车攻击、数据隐私和伪造攻击方面的计算不可行性。最后,综合性能分析表明了该模型的可扩展性和可行性。
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Enabling Efficient Deduplication and Secure Decentralized Public Auditing for Cloud Storage: A Redactable Blockchain Approach
Public auditing and data deduplication are integral considerations in providing efficient and secure cloud storage services. Nevertheless, the traditional data deduplication models that support public auditing can endure the enormous waste of storage and computation resources induced through data redundancy and repeated audit work by multiple tenants on trusted third-party auditor (TPA). In this work, we introduce blockchain-based secure decentralized public auditing in a decentralized cloud storage with an efficient deduplication model. We employ blockchain to take on the task of centralized TPA, which also mitigates the implications of malicious blockchain miners by using the concept of a decentralized autonomous organization (DAO). Specifically, we employ the idea of redactability for blockchain to handle often neglected security issues that would adversely affect the integrity of stored auditing records on blockchain in decentralized auditing models. However, the proposed model also employs an efficient deduplication scheme to attain adequate storage savings while preserving the users from data loss due to duplicate faking attacks. Moreover, the detailed concrete security analysis demonstrates the computational infeasibility of the proposed model against proof-of-ownership, duplicate faking attack (DFA), collusion attack, storage free-riding attack, data privacy, and forgery attack with high efficiency. Finally, the comprehensive performance analysis shows the scalability and feasibility of the proposed model.
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来源期刊
ACM Transactions on Management Information Systems
ACM Transactions on Management Information Systems COMPUTER SCIENCE, INFORMATION SYSTEMS-
CiteScore
6.30
自引率
20.00%
发文量
60
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