Research Article
Enhancing Cloud Data Integrity Verification Scheme with User Legitimacy Check
@INPROCEEDINGS{10.1007/978-3-031-55471-1_5, author={Dong Wu and Chao Peng and Meilan Zheng and Chen Fu and Hua Wang and Hua Zhong and Qiuming Liu and He Xiao and Siwen Dong}, title={Enhancing Cloud Data Integrity Verification Scheme with User Legitimacy Check}, proceedings={Mobile Networks and Management. 13th EAI International Conference, MONAMI 2023, Yingtan, China, October 27-29, 2023, Proceedings}, proceedings_a={MONAMI}, year={2024}, month={3}, keywords={User verification Data integrity Smart contract Verifiable random functions}, doi={10.1007/978-3-031-55471-1_5} }- Dong Wu
Chao Peng
Meilan Zheng
Chen Fu
Hua Wang
Hua Zhong
Qiuming Liu
He Xiao
Siwen Dong
Year: 2024
Enhancing Cloud Data Integrity Verification Scheme with User Legitimacy Check
MONAMI
Springer
DOI: 10.1007/978-3-031-55471-1_5
Abstract
Users employ cloud servers to store data and depend on third-party audits to guarantee data integrity. However, this auditing system poses certain risks, as it may have vulnerabilities that attackers can exploit for intrusion. To address these concerns and achieve decentralization, a cloud data integrity verification scheme is proposed. This scheme is based on a verifiable random function and aims to eliminate the need for third-party auditing. Before performing data integrity verification, a blockchain smart contract is employed to calculate bilinear pairs, serving the purpose of verifying the user’s legitimacy. If the user successfully completes this verification, the integrity of the cloud data is then verified using the verifiable random function. The simulation results demonstrate that this scheme is effective in detecting the legitimacy of users and significantly reduces the computational and communication overhead associated with verifying data integrity.
