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A Scalable Blockchain-Based Integrity Verification Scheme.

Authors :
Zhou, Zequan
Luo, Xiling
Bai, Yi
Wang, Xiaochao
Liu, Feng
Liu, Gang
Xu, Yifu
Source :
Wireless Communications & Mobile Computing; 5/10/2022, p1-13, 13p
Publication Year :
2022

Abstract

Ensuring the integrity of remote data is the prerequisite for implementing cloud-edge computing. Traditional data integrity verification schemes make users spend a lot of time regularly checking their data, which is not suitable for large-scale IoT (Internet of Things) data. On the other hand, the introduction of a third-party auditor (TPA) may bring about greater privacy and security issues. We use blockchain to address the problem of TPA. However, implementing dynamic integrity verification with blockchain is a bigger challenge due to the low throughput and poor scalability of blockchain. More importantly, whether there is a security problem with blockchain-based integrity verification is not yet known. In this paper, we propose a scalable blockchain-based integrity verification scheme that implements fully dynamic operations and blockless verification. The scheme builds scalable homomorphic verification tags based on ZSS (Zhang-Safavi-Susilo) short signatures. We exploit smart contract technology to replace TPA for integrity verification tasks, which not only eliminates the risk of privacy leakage but also resists collusion attacks. Furthermore, we formally define a blockchain-based security model and prove that our scheme is secure under the security assumption of cryptographic primitives. Finally, the mathematical analysis of our scheme shows that both the communication complexity and the communication complexity of an audit are O c , in which c is the number of challenge blocks. We compare our scheme with other schemes, and the results show that our scheme has the lowest time consumption to complete an audit. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
15308669
Database :
Complementary Index
Journal :
Wireless Communications & Mobile Computing
Publication Type :
Academic Journal
Accession number :
156778651
Full Text :
https://doi.org/10.1155/2022/7830508