Journal article
A traceable and revocable multi-authority access control scheme with privacy preserving for mHealth
Journal of Systems Architecture, Vol.130, Art. 102654
2022
Abstract
Mobile healthcare (mHealth) is a smart health system, which makes people have the storage and share in their personal health data (PHD) in the cloud for rapidly medical treatment through mobile 5G-enabled Industrial Internet of Things (IIoT) equipments. But key hosting problem and privacy leakage problem issued by malicious users and revoked users bring new security challenges. Traceability and accountability to attackers have been an important issue in mHealth system. Among the methods solving the above, most of them still face key abusing and privacy leakage problems. In this article, an expressive privacy preserving attribute-based traceable approach is proposed, where it keeps PHD confidentiality, eliminates the key delegation issue and prevents the key from being abused, allowing for fine-grained access control to the shared data in mHealth. Under this framework, we imprint a robust unforgeable signature in the secret key to assure the tracked user’s undeniability. We also add a revocable function that can efficiently remove the malicious users by only updating parts of ciphertext, and unrevoked users still can access the encrypted data using the original key. To achieve privacy protection, a bloom filter is used to hide the access policy. Security analysis and performance comparisons show the proposed method is secure and efficient.
Details
- Title
- A traceable and revocable multi-authority access control scheme with privacy preserving for mHealth
- Authors/Creators
- L. Zhang (Author/Creator)C. Zhao (Author/Creator)Q. Wu (Author/Creator)Y. Mu (Author/Creator)F. Rezaeibagha (Author/Creator)
- Publication Details
- Journal of Systems Architecture, Vol.130, Art. 102654
- Publisher
- Elsevier BV
- Identifiers
- 991005543323307891
- Copyright
- © 2022 Elsevier B.V.
- Murdoch Affiliation
- Information Technology, Mathematics and Statistics
- Language
- English
- Resource Type
- Journal article
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InCites Highlights
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- Collaboration types
- Domestic collaboration
- International collaboration
- Citation topics
- 4 Electrical Engineering, Electronics & Computer Science
- 4.187 Security Systems
- 4.187.160 Cryptographic Protocols
- Web Of Science research areas
- Computer Science, Hardware & Architecture
- Computer Science, Software Engineering
- ESI research areas
- Computer Science