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Outsourced data integrity verification based on blockchain in untrusted environment

机译:基于区块链的外包数据完整性验证在不受信任的环境中

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摘要

Outsourced data, as the significant component of cloud service, has been widely used due to its convenience, low overhead, and high flexibility. To guarantee the integrity of outsourced data, data owner (DO) usually adopts a third party auditor (TPA) to execute the data integrity verification scheme. However, during the verification process, DO cannot fully confirm the reliability of the TPA, and handing over the verification of data integrity to the untrusted TPA may lead to data security threats. In this paper, we focus on the problem of integrity verification of outsourced data in untrusted environment, that is, how to improve the security and efficiency of data integrity verification without utilizing untrusted TPA. To address the problem, we design a decentralized model based on blockchain consisting of some collaborative verification peers (VPs), each of which maintains a replication of the entire blockchain to avoid maliciously tampering with. Based on the model, we present an advanced data integrity verification algorithm which allows DO to store and check the verification information by writing and retrieving the blockchain. In addition, in order to improve the concurrent performance, we extend the algorithm by introducing the verification group (VG) constituting by some VPs organized by Inner-Group and Inter-Group consensus protocols. We conduct a completed security analysis as well as extensive experiments of our proposed approach, and the evaluation results demonstrate that our proposed approaches achieve superior performance.
机译:作为云服务的重要组成部分,外包数据由于其便利性,低开销和高灵活性而被广泛使用。为了保证外包数据的完整性,数据所有者(DO)通常采用第三方审计员(TPA)来执行数据完整性验证方案。但是,在验证过程中,无法完全确认TPA的可靠性,并将数据完整性验证到不受信任的TPA可能导致数据安全威胁。在本文中,我们专注于不受信任环境中外包数据的完整性验证问题,即如何提高数据完整性验证的安全性和效率,而不使用不受信任的TPA。为了解决这个问题,我们基于由某些协作验证对等体(VPS)组成的区块链设计的分散模型,每个结构组成,每个模块都维持整个区块链的复制以避免恶意地篡改。基于该模型,我们提出了一个高级数据完整性验证算法,允许通过写入和检索区块链来存储和检查验证信息。此外,为了提高并发性能,我们通过引入由内部组和组间共识协议组织的某些VPS构成的验证组(VG)来扩展算法。我们进行完成的安全分析以及我们提出的方法的广泛实验,评估结果表明,我们的拟议方法实现了卓越的性能。

著录项

  • 来源
    《World Wide Web》 |2020年第4期|2215-2238|共24页
  • 作者单位

    School of Computer Science and Engineering. Northeastern University Shenyang China;

    School of Computer Science and Engineering. Northeastern University Shenyang China Key Laboratory of Big Data Management and Analytics Liaoning Province China;

    College of Medicine and Biological Information Engineering Northeastern University Shenyang China Neusoft Research of Intelligent Healthcare Technology Co. Ltd. Shenyang China;

    School of Computer Science and Technology Beijing Institute of Technology Beijing China;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Blockchain; Outsourced data; Data integrity; Collaborative; Untrusted environment;

    机译:区块链;外包数据;数据的完整性;协同;不受信任的环境;

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