4.7 Article

Blockchain Empowered Arbitrable Data Auditing Scheme for Network Storage as a Service

Journal

IEEE TRANSACTIONS ON SERVICES COMPUTING
Volume 13, Issue 2, Pages 289-300

Publisher

IEEE COMPUTER SOC
DOI: 10.1109/TSC.2019.2953033

Keywords

Blockchain; Servers; Data integrity; Metadata; Smart contracts; Hash functions; Network storage as a service; blockchain; remote data auditing; decentralized arbitration; fair anti-cheating

Funding

  1. National Natural Science Foundation of China [61702562, 61472451, B18059]
  2. Young Elite Scientists Sponsorship Program by CAST [2018QNRC001]
  3. Young Talents Plan of Hunan Province of China [2019RS2001]
  4. Fundamental Research Funds for the Central Universities

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The maturity of network storage technology drives users to outsource local data to remote servers. Since these servers are not reliable enough for keeping users' data, remote data auditing mechanisms are studied for mitigating the threat to data integrity. However, many traditional schemes achieve verifiable data integrity for users only without resolutions to data possession disputes, while others depend on centralized third-party auditors (TPAs) for credible arbitrations. Recently, the emergence of blockchain technology promotes inspiring countermeasures. In this article, we propose a decentralized arbitrable remote data auditing scheme for network storage service based on blockchain techniques. We use a smart contract to notarize integrity metadata of outsourced data recognized by users and servers on the blockchain, and also utilize the blockchain network as the self-recording channel for achieving non-repudiation verification interactions. We also propose a fairly arbitrable data auditing protocol with the support of the commutative hash technique, defending against dishonest provers and verifiers. Additionally, a decentralized adjudication mechanism is implemented by using the smart contract technique for creditably resolving data possession disputes without TPAs. The theoretical analysis and experimental evaluation reveal its effectiveness in undisputable data auditing and the limited requirement of costs.

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