Publication Type
Journal Article
Version
acceptedVersion
Publication Date
1-2022
Abstract
Healthcare Internet-of-Things (IoT) is an emerging paradigm that enables embedded devices to monitor patients vital signals and allows these data to be aggregated and outsourced to the cloud. The cloud enables authorized users to store and share data to enjoy on-demand services. Nevertheless, it also causes many security concerns because of the untrusted network environment, dishonest cloud service providers and resource-limited devices. To preserve patients' privacy, existing solutions usually apply cryptographic tools to offer access controls. However, fine-grained access control among authorized users is still a challenge, especially for lightweight and resource-limited end-devices. In this paper, we propose a novel healthcare IoT system fusing advantages of attribute-based encryption, cloud and edge computing, which provides an efficient, flexible, secure fine-grained access control mechanism with data verification in healthcare IoT network without any secure channel and enables data users to enjoy the lightweight decryption. We also define the formal security models and present security proofs for our proposed scheme. The extensive comparison and experimental simulation demonstrate that our scheme has better performance than existing solutions.
Keywords
Internet-of-Things, access control, cloud computing, edge computing, attribute-based encryption
Discipline
Health Information Technology | Information Security
Research Areas
Cybersecurity
Publication
IEEE Transactions on Cloud Computing
Volume
10
Issue
1
First Page
474
Last Page
490
ISSN
2168-7161
Identifier
10.1109/TCC.2019.2936481
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Citation
XU, Shengmin; Li, Yingjiu; DENG, Robert H.; ZHANG, Yinghui; LUO, Xiangyang; and LIU, Ximeng.
Lightweight and expressive fine-grained access control for healthcare internet-of-things. (2022). IEEE Transactions on Cloud Computing. 10, (1), 474-490.
Available at: https://ink.library.smu.edu.sg/sis_research/7249
Copyright Owner and License
Authors
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://doi.org/10.1109/TCC.2019.2936481