Optimized Blockchain-Based EMR Sharing via Secure Channel-Free Universal Designated Verifier Signature Proofs
The sharing of electronic medical records (EMRs) significantly enhances disease research and healthcare system efficiency. However, outsourcing EMRs to cloud servers introduces risks such as tampering and malicious propagation by recipients. Existing solutions combining blockchain and universal designated verifier signature proofs (UDVSPs) mitigate these risks but rely on secure channels for key sharing, adding communication and computation costs that hinder deployment. In this article, we introduce the first secure channel-free universal designated verifier signature proofs (SCF-UDVSPs) scheme, leveraging simplified cryptographic techniques like the <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$\Sigma $ </tex-math></inline-formula>-protocol and public key encryption. Integrating SCF-UDVSP with blockchain, we develop an optimized EMR sharing system that effectively prevents these attacks, including tampering and malicious propagation. Security proofs and performance analysis validate the feasibility and effectiveness of our proposed system. Compared to existing UDVSP solutions, our approach reduces computational costs by approximately 59.3% without increasing communication overhead, while also eliminating the need for establishing a secure channel.
Authors
- Wei Wu (ORCID: https://orcid.org/0000-0003-0343-4632)
- Chao Lin (ORCID: https://orcid.org/0000-0002-0101-8531)
- Jianting Ning (ORCID: https://orcid.org/0000-0001-7165-398X)
- P.W. Huang (ORCID: https://orcid.org/0009-0002-0007-642X)
Institutions
- Fujian Normal University (CN)
- Wuhan University (CN)
Publication Details
- Journal
- IEEE Internet of Things Journal
- Published
- 2025-02-26
- DOI
- https://doi.org/10.1109/jiot.2025.3545913
- Citations
- 3
- Primary Topic
- Advanced Authentication Protocols Security
- Type
- article
- Field-Weighted Citation Impact
- 4.46
Funders
- National Natural Science Foundation of China