ESDedup: An efficient and secure deduplication scheme based on data similarity and blockchain for cloud-assisted medical storage systems

【Author】 Xiao, Ling; Zou, Beiji; Zhu, Chengzhang; Nie, Fanbo

【Source】JOURNAL OF SUPERCOMPUTING

【影响因子】2.557

【Abstract】With the explosive growth of medical data, the tendency to store medical data on cloud is extremely widespread. However, large-scale medical data have put great pressure on cloud storage systems since redundancy of data wastes much storage space and increases economic expense. Besides, security is also highly important for medical data stored in the cloud. In order to reduce redundancy and ensure security of medical data simultaneously, this study proposes an efficient and secure deduplication scheme ESDedup. Compared with existing works, the redundancy of medical data is summarized and denoising of deduplication is firstly presented to decrease the storage overhead. Afterward, the rewriting algorithm based on similarity instead of the time attribute eliminates more fragments. Meanwhile, the auditing strategy of blockchain is designed to promote the auditing efficiency and security. Experiments demonstrate that ESDedup not only promotes the scalability and system performance, but also improves the deduplication ratio by 55.9% compared with the state-of-the-art method.

【Keywords】Redundancy; Deduplication; Data similarity; Blockchain; Storage systems

【发表时间】

【收录时间】2022-09-06

【文献类型】理论模型

【主题类别】

区块链应用-实体经济-医疗领域