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Secure Deduplication Method with Blockchain-basedSmart Contract for Heterogeneous Cloud Servers
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[1]JIANG Lin,LI Jiaxing,WU Jigang.Secure Deduplication Method with Blockchain-basedSmart Contract for Heterogeneous Cloud Servers[J].Journal of Zhengzhou University (Engineering Science),2024,45(05):95-102.[doi:10.13705/j.issn.1671-6833.2024.02.010]
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Journal of Zhengzhou University (Engineering Science)[ISSN 1671-6833/CN 41-1339/T] Volume: 45 Number of periods: 2024 05 Page number: 95-102 Column: Public date: 2024-08-08
Title:
Secure Deduplication Method with Blockchain-basedSmart Contract for Heterogeneous Cloud Servers
Author(s):
JIANG Lin1;  LI Jiaxing2;  WU Jigang1
1. School of Computer Science and Technology, Guangdong University of Technology, Guangzhou 510006, China; 2. Laboratory for Artificial Intelligence in Design, The Hong Kong Polytechnic University, Hong Kong 999077, China
Keywords:
blockchain;  cloud storage;  smart contract;  secret sharing method;  data deduplication;  security
CLC:
TP309. 2TP309. 3
DOI:
10.13705/j.issn.1671-6833.2024.02.010
Abstract:
In the era of big data in response to the conflict between the reliability enhancement of user data in cloudserver storage and the strategy for removing duplicate data, a heterogeneous server data security deduplication method was proposed blockchain-based smart contracts. Leveraging the decentralized, tamper-proof, and publicly transparent characteristics of blockchain, as well as the automation capabilities of smart contracts, this method could achieve data storage security, reliability, and privacy protection. Specifically, the method combined secret sharingand blockchain smart contract technology to design a secure and efficient cloud storage data deduplication service.Moreover, by replacing the role of centralized third-party entities with blockchain and mitigating server heterogeneity through smart contract scripts, potential security risks were eliminated. Experimental results demonstrated that,under various scenarios with different file sizes and block quantities, the average computational overhead of thismethod was 65. 42% to 115. 77% lower than the comparative solutions, and the average storage overhead was7. 94% to 19. 50% lower. Additionally, for varying numbers of heterogeneous storage servers, this method exhibited significantly lower average computational and storage overhead, with reductions of 67. 27% to 177. 89% and34. 01% to 72. 89%, respectively. Therefore, the proposed approach could outperform two existing blockchainbased deduplication method in terms of security, computational and storage efficiency.
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Last Update: 2024-09-02
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