期刊
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE
卷 121, 期 -, 页码 114-122出版社
ELSEVIER
DOI: 10.1016/j.future.2021.03.021
关键词
CP-ABE; Fine-grained control; Hybrid cloud; Multi-authority
资金
- National Natural Science Foundation of China [61972352, 61602408, 61572435, 62072403]
- Key Research and Development Program of Zhejiang Province, China [2021C03150, 2020C01076]
- Zhejiang Provincial Natural Science Foundation of China [LY19F020005, LY18F020009]
- UniversityIndustry Collaborative Education Program of Ministry of Education of China [201902126003]
With the rapid development of cloud computing, attribute-based encryption (ABE) has attracted widespread attentions due to its unique attribute matching mechanism, while mobile devices have put forward higher requirements for ABE schemes. In this paper, an original hybrid cloud multi-authority ciphertext-policy attribute-based encryption (HCMACP-ABE) scheme is proposed, utilizing the LSSS access structure for secure access control and the private cloud for maintaining user authorization lists and verifying users. The proposal achieves IND-CCA secure and is efficient in a mobile hybrid cloud environment.
With the rapid development of cloud computing, the ensuing security issues have become increasingly prominent. In this context, attribute-based encryption (ABE) has gradually attracted widespread attentions due to its unique attribute matching mechanism. At the same time, mobile devices have put forward higher requirements for the design and deployment of ABE schemes. Therefore, in this paper, we propose an original hybrid cloud multi-authority ciphertext-policy attribute-based encryption (HCMACP-ABE) scheme. Specifically, we utilize the LSSS (Linear Secret-Sharing Schemes) access structure to realize secure access control, while the private cloud is responsible for maintaining the user's authorization list and verifying the user. Finally, we prove that our proposal achieves IND-CCA secure and is efficient in a mobile hybrid cloud environment. (C) 2021 Elsevier B.V. All rights reserved.
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