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

• Published in: IEEE transactions on services computing Vol. 13; no. 2; pp. 289 - 300
• Main Authors: Xu, Yang, Ren, Ju, Zhang, Yan, Zhang, Cheng, Shen, Bo, Zhang, Yaoxue
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 01-03-2020; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Adjudication; Arbitration; Blockchain; Cryptography; Data integrity; decentralized arbitration; fair anti-cheating; Hash functions; Integrity; Metadata; Network storage; Network storage as a service; remote data auditing; Servers; Smart contracts
• ISSN: 1939-1374; 2372-0204
• DOI: 10.1109/TSC.2019.2953033

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.