CDDA: Privacy-preserving blockchain-based cross-domain dynamic authentication scheme for Healthcare 5.0
Minghui Li, Zhenyan Liu, Ning Shi, Yuanzhang Li · Information Sciences · 2025
Healthcare 5.0 delivers high-quality healthcare by promoting collaboration among multiple trusted domains to effectively integrate resources. In this process, cross-domain authentication is a critical issue that must be addressed to ensure secure communication and resource sharing. Common unified authentication frameworks rely on consistent and coordinated authentication policies across different domains, which may lead to challenges in accommodating diverse policies and increase the risk of privacy breaches. To address these issues, this paper proposes a privacy-preserving blockchain-based cross-domain dynamic authentication scheme, referred to as CDDA, for Healthcare 5.0. CDDA enables cross-domain authentication across various healthcare domains, each with its own distinct authentication policies. To protect domain privacy, it anonymizes identity credentials and policy structures. Additionally, it implements a blockchain-based decentralized approach integrated with threshold verification mechanisms to enhance security. Finally, we conduct a security analysis to demonstrate that CDDA satisfies the essential security and privacy criteria. We further validate its effectiveness and efficiency through thorough experimental evaluations. The results indicate that the most complex phase of the cross-domain resource request operation takes an average of 1.38 seconds, which is acceptable given its significant contribution to enhancing cross-domain privacy and flexibility.