Implementation of a Tokenized Access Control Mechanism with ZKP Verification for Telemedicine Systems
Year: 2026
Type: conference-paper
Abstract: The rapid adoption of telemedicine systems has increased the volume of electronic medical data and intensified concerns related to patient data security, access transparency, and regulatory compliance. Conventional telemedicine platforms mainly rely on centralized access control mechanisms, in which authorization decisions and audit logs are managed within a single administrative domain and cannot be independently verified. Such approaches reduce accountability and increase the risk of unauthorized access to sensitive medical information. This paper proposes and implements a telemedicine-oriented tokenized access control mechanism with privacypreserving verification and verifiable audit support. The proposed approach formalizes secure access management without exposing patient data and without transferring clinical records from existing medical information systems. Access rights are represented by time-limited and context-bound cryptographic tokens linked to specific clinical interactions and usage conditions. The legitimacy of access requests is verified using zeroknowledge proof principles, enabling authorization checks without disclosing sensitive token attributes or medical content. To ensure auditability, only accessrelated metadata and cryptographic commitments are recorded in a permissioned blockchain, while medical records remain stored within the centralized medical information system. The proposed mechanism is implemented in a prototype telemedicine environment and experimentally evaluated in comparison with centralized and blockchain-oriented architectures. The results indicate that the proposed approach provides a practical balance between security, auditability, and performance, confirming its applicability to secure telemedicine systems.
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W7168283731