Abstract
With the large-scale application of cloud storage, how to ensure cloud data integrity has become an important issue. Although many methods have been proposed, they still have their limitations. This paper improves some defects of the previous methods and proposes an efficient cloud data integrity verification scheme based on blockchain. In this paper, we proposed a lattice signature algorithm to resist quantum computing and introduced cuckoo filter to simplify the computational overhead of the user verification phase. Finally, the decentralized blockchain network is introduced to replace traditional centralized audit to publicize and authenticate the verification results, which improves the transparency and the security of this scheme. Security analysis shows that our scheme can resist malicious attacks and experimental results show that our scheme has high efficiency, especially in the user verification phase.
Highlights
With lots of applications deployed in the cloud, user data are collected centrally and handed over to the cloud
The cloud service provider (CSP) may have the problem of maliciously modifying the results of data integrity verification. erefore, the proposed data integrity verification scheme must ensure that the results of data integrity verification are fair and credible
E algorithm and cuckoo filter are conducted by C programming language with the pairing-based cryptography (PBC) library version 0.5.14, GNU multiple precision arithmetic (GMP) library version 6.2.0, and the Openssl version 1.0.2n. e security parameter of the lattice signature is set to λ 128 bits. e size of the file to be signed is all 1 MB
Summary
With lots of applications deployed in the cloud, user data are collected centrally and handed over to the cloud. Cloud computing provides users with shared computing resources and storage resources and has multiple deployment models like private cloud, community cloud, public cloud, and hybrid cloud [1]. Storing data in the cloud can bring many benefits, such as reducing hardware investment costs, reducing the local storage burden, and supporting remote access. Centralized data and complex computing environments make user data subject to multiple threats [2]. Multitenants share cloud computing resources, making data more vulnerable to be damaged. In the cloud computing environment, the customized resources between tenants are usually isolated by adopting a logical method. Cloud service providers may deliberately hide that user data are corrupted or store data that users rarely access offline. Considering the large-scale outsourcing data and limited computing power, verifying outsourcing data integrity has become a vital issue in cloud storage
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