SStore: An Efficient and Secure Provable Data Auditing Platform for Cloud

doi:10.1109/TIFS.2024.3383772

科研成果详情

题名	SStore: An Efficient and Secure Provable Data Auditing Platform for Cloud
作者	Wang，Lipeng 1,2; Hu，Mingsheng 1; Jia，Zhijuan 1; Guan，Zhi 2; Chen，Zhong2
发表日期	2024
发表期刊	IEEE Transactions on Information Forensics and Security
ISSN/eISSN	1556-6013
卷号	19 页码:4572-4584
摘要	As more internet users opt to store their data in cloud storage, ensuring data integrity becomes a paramount concern. The emerging provable data possession (PDP) scheme enables auditors to verify data integrity with reduced bandwidth consumption compared to hash-based alternatives. Nevertheless, most existing PDP variants rely on a centralized node for generating or maintaining user keys, creating a potential single point of failure. Moreover, previous PDP schemes could only detect whether challenged data blocks were corrupted, lacking the ability to pinpoint affected blocks precisely. To tackle these challenges, we propose a novel PDP scheme that eliminates the necessity for a key management center and supports the localization of corrupted data blocks. In our scheme, users no longer need to retain private keys once they cease performing data dynamic operations, thus liberating them from reliance on external entities for key maintenance. Moreover, the new scheme utilizes existing authenticators in the cloud to identify corrupted file blocks, eliminating the necessity of storing hash values for these data blocks as seen in most of existing implementations. This effectively reduces required storage space. Furthermore, we introduce SStore, a decentralized cloud storage platform that incorporates the new PDP scheme to verify data integrity. SStore facilitates public auditing of user data, thereby enhancing transparency in the data verification procedure. Moreover, SStore leverages basic algebraic operations for data auditing, significantly increasing its efficiency. We analyze the security of the new PDP scheme, and evaluate the performance of both the PDP scheme and SStore to demonstrate their efficiency.
关键词	Cloud storage data integrity detectability provable data auditing public auditing
DOI	10.1109/TIFS.2024.3383772
URL	查看来源
语种	英语English
Scopus入藏号	2-s2.0-85190170723
引用统计	被引频次：4[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	https://repository.uic.edu.cn/handle/39GCC9TT/13446
专题	个人在本单位外知识产出
通讯作者	Wang，Lipeng
作者单位	1.Zhengzhou Normal University,School of Information Science and Technology,Zhengzhou,450044,China 2.Peking University,School of Computer Science,Beijing,100871,China
推荐引用方式 GB/T 7714	Wang，Lipeng,Hu，Mingsheng,Jia，Zhijuanet al. SStore: An Efficient and Secure Provable Data Auditing Platform for Cloud[J]. IEEE Transactions on Information Forensics and Security, 2024, 19: 4572-4584.
APA	Wang，Lipeng, Hu，Mingsheng, Jia，Zhijuan, Guan，Zhi, & Chen，Zhong. (2024). SStore: An Efficient and Secure Provable Data Auditing Platform for Cloud. IEEE Transactions on Information Forensics and Security, 19, 4572-4584.
MLA	Wang，Lipeng,et al."SStore: An Efficient and Secure Provable Data Auditing Platform for Cloud". IEEE Transactions on Information Forensics and Security 19(2024): 4572-4584.