Title | Multi-authoritative Users Assured Data Deletion Scheme in Cloud Computing |
Publication Type | Conference Paper |
Year of Publication | 2022 |
Authors | Tian, Junfeng, Bai, Ruxin, Zhang, Tianfeng |
Conference Name | 2022 52nd Annual IEEE/IFIP International Conference on Dependable Systems and Networks Workshops (DSN-W) |
Keywords | assured deletion, cloud computing, cloud storage, Conferences, Costs, data deletion, Data security, data sharing, functional analysis, Hyperledger Fabric, pubcrawl, Robustness, Scalability, smart contracts, user restriction |
Abstract | With the rapid development of cloud storage technology, an increasing number of enterprises and users choose to store data in the cloud, which can reduce the local overhead and ensure safe storage, sharing, and deletion. In cloud storage, safe data deletion is a critical and challenging problem. This paper proposes an assured data deletion scheme based on multi-authoritative users in the semi-trusted cloud storage scenario (MAU-AD), which aims to realize the secure management of the key without introducing any trusted third party and achieve assured deletion of cloud data. MAU-AD uses access policy graphs to achieve fine-grained access control and data sharing. Besides, the data security is guaranteed by mutual restriction between authoritative users, and the system robustness is improved by multiple authoritative users jointly managing keys. In addition, the traceability of misconduct in the system can be realized by blockchain technology. Through simulation experiments and comparison with related schemes, MAU-AD is proven safe and effective, and it provides a novel application scenario for the assured deletion of cloud storage data. |
DOI | 10.1109/DSN-W54100.2022.00033 |
Citation Key | tian_multi-authoritative_2022 |