Blockchain-Assisted Conditional Anonymity Privacy-Preserving Public Auditing Scheme With Reward Mechanism

Zhao, Jie; Huang, Hejiao; Gu, Chonglin; Hua, Zhongyun; Zhang, Xiaojun

doi:10.1109/jsyst.2021.3125835

Cited by 18 publications

(1 citation statement)

References 40 publications

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“…This scheme does not require certificates and eliminates the key escrow problem. Zhao et al [19] proposed a practical blockchain-assisted conditional anonymity privacypreserving public auditing scheme that achieves resistance to man-in-the-middle attacks, storage correctness, data privacy protection, and conditional identity anonymity. Guo et al [20] proposed a revocable blockchain-assisted ABE with an escrow-free system that solves the key escrow problem by replacing traditional key management agencies with federated blockchains.…”

Section: Related Workmentioning

confidence: 99%

A Blockchain-Assisted Certificateless Public Cloud Data Integrity Auditing Scheme

Du,

Dong,

Ning

et al. 2023

IEEE Access

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The utilization of cloud storage is increasingly prevalent as the field of cloud computing continues to expand. Several cloud data auditing schemes have been proposed within the academic community to guarantee the availability and integrity of cloud data. Nevertheless, several schemes rely on public key infrastructure and identity-based encryption, introducing intricate challenges associated with certificate management and key escrow. Consequently, we present a certificateless encryption-based blockchain-assisted public cloud data integrity auditing scheme for data integrity. Furthermore, our proposed scheme incorporates blockchain technology to oversee the activities of semi-trusted third-party auditors and resolve the concerns mentioned above. To enhance the efficiency of dynamic data updating and ensure data privacy security, we introduce a new data structure that combines a novel counting bloom filter and a Multi-Merkel hash tree approach. The assumption of the discrete logarithm issue determines the system's security. In contrast, the security model of the scheme is comprehensively delineated. In the part dedicated to performance analysis, we assess the scheme's functionality and computational cost within the framework of existing literature. The experimental results provide proof of the scheme's comprehensive functionality and effectiveness.

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Section: Related Workmentioning

confidence: 99%