Blockchain Based Data Integrity Verification for Large-Scale IoT Data

Achieving data integrity verification for large-scale IoT data in cloud storage safely and efficiently has become one of the hot topics with further applications of Internet of Things. Traditional data integrity verification methods generally use encryption techniques to protect data in the cloud, r...

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Bibliographic Details
Published in:IEEE access 2019, Vol.7, p.164996-165006
Main Authors: Wang, Haiyan, Zhang, Jiawei
Format: Article
Language:English
Subjects:
bilinear mapping
Blockchain
blockchain technology
Cloud computing
Cryptography
Data integrity
Data integrity verification
Data storage
Encryption
Integrity
Internet of Things
Internet of Things (IoT)
Mapping
Smart contracts
Trusted third parties
Verification
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Summary:Achieving data integrity verification for large-scale IoT data in cloud storage safely and efficiently has become one of the hot topics with further applications of Internet of Things. Traditional data integrity verification methods generally use encryption techniques to protect data in the cloud, relying on trusted Third Party Auditors (TPAs). Blockchain based data integrity schemes can successfully avoid the trust problem of TPAs, however, they have to face the problems of large computational and communication overhead. To address the issues above, we propose a Blockchain and Bilinear mapping based Data Integrity Scheme (BB-DIS) for large-scale IoT data. In our BB-DIS, IoT data is sliced into shards and homomorphic verifiable tags (HVTs) are generated for sampling verification. Data integrity can be achieved according to the characteristics of bilinear mapping in the form of blockchain transactions. Performance analysis of BB-DIS including feasibility, security, dynamicity and complexity is also discussed in detail. A prototype system of BB-DIS is then presented to illustrate how to implement our verification scheme. Experimental results based on Hyperledger Fabric demonstrate that the proposed verification scheme significantly improves the efficiency of integrity verification for large-scale IoT data with no need of TPAs.
ISSN:2169-3536
2169-3536
DOI:10.1109/ACCESS.2019.2952635