Open Access

ARTICLE

Data Anonymous Authentication for BIoMT with Proxy Group Signature

Chaoyang Li^1,*, Yalan Wang², Gang Xu³, Xiubo Chen⁴, Xiangjun Xin¹, Jian Li⁴

1 College of Software Engineering, Zhengzhou University of Light Industry, Zhengzhou, 450001, China
2 Department of Computer Science, University of Surrey, Guildford, Surrey, GU2 7XH, UK
3 School of Computing Science and Technology, North China University of Technology, Beijing, 100144, China
4 Information Security Centre, State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, 100876, China

* Corresponding Author: Chaoyang Li. Email:

Journal of Cyber Security 2021, 3(4), 207-216. https://doi.org/10.32604/jcs.2021.026926

Received 23 October 2021; Accepted 21 December 2021; Issue published 09 February 2022

Abstract

Along with the increase of wearable medical device, the privacy leakage problem in the process of transmission between these edge medical devices. The blockchain-enabled Internet of Medical Things (BIoMT) has been developed to reform traditional centralized medical system in recent years. This paper first introduces a data anonymous authentication model to protect user privacy and medical data in BIoMT. Then, a proxy group signature (PGS) scheme has been proposed based on lattice assumption. This scheme can well satisfy the anonymous authentication demand for the proposed model, and provide anti-quantum attack security for BIoMT in the future general quantum computer age. Moreover, the security analysis shows this PGS scheme is secure against the dynamical-almostfull anonymous and traceability. The efficiency comparison shows the proposed model and PGS scheme is more efficient and practical.

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Keywords

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