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Efficient Group Blind Signature for Medical Data Anonymous Authentication in Blockchain-Enabled IoMT

Chaoyang Li*, Bohao Jiang, Yanbu Guo, Xiangjun Xin

College of Software Engineering, Zhengzhou University of Light Industry, Zhengzhou, 450002, China

* Corresponding Author: Chaoyang Li. Email:

Computers, Materials & Continua 2023, 76(1), 591-606.


Blockchain technology promotes the development of the Internet of medical things (IoMT) from the centralized form to distributed trust mode as blockchain-based Internet of medical things (BIoMT). Although blockchain improves the cross-institution data sharing ability, there still exist the problems of authentication difficulty and privacy leakage. This paper first describes the architecture of the BIoMT system and designs an anonymous authentication model for medical data sharing. This BIoMT system is divided into four layers: perceptual, network, platform, and application. The model integrates an anonymous authentication scheme to guarantee secure data sharing in the network ledger. Utilizing the untampered blockchain ledger can protect the privacy of medical data and system users. Then, an anonymous authentication scheme called the group blind signature (GBS) scheme is designed. This scheme can provide anonymity for the signer as that one member can represent the group to sign without exposing his identity. The blind property also can protect the message from being signed as it is anonymous to the signer. Moreover, this GBS scheme is created with the lattice assumption, which makes it more secure against quantum attacks. In addition, the security proof shows that this GBS scheme can achieve the security properties of dynamical-almost-full anonymity, blindness, traceability, and non-frameability. The comparison analysis and performance evaluation of key size show that this GBS scheme is more efficient than similar schemes in other literature.


Cite This Article

C. Li, B. Jiang, Y. Guo and X. Xin, "Efficient group blind signature for medical data anonymous authentication in blockchain-enabled iomt," Computers, Materials & Continua, vol. 76, no.1, pp. 591–606, 2023.

This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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