ABHealChain: Enhancing Privacy and Security in Healthcare Data Sharing Through Hyperledger Fabric and Attribute‐Based Access Control
Anita Thakur, Virender Ranga, Ritu Agarwal · Concurrency and Computation Practice and Experience · 2026
ABSTRACT In the current panorama of digital healthcare evolution and the proliferation of electronic health records (EHRs), healthcare systems face many challenges. These challenges encompass data administration and security, data exchange, and ensuring the confidentiality of medical data. Within this context, blockchain technology emerges as a promising way to address the numerous challenges associated with EHRs. Ensuring the security and confidentiality of EHRs remains a pivotal concern encompassing healthcare service recipients and providers. The compromise of a healthcare system leads to the exposure of intricately private health information. Typically stored in centralized databases, this information repository introduces susceptibilities that consequently fuel instances of cyber intrusion. To ensure the safeguarding of medical data, this research paper strategically adopts the Hyperledger Fabric (HLF) blockchain platform, which incorporates attribute‐based access control mechanisms to thwart any malicious attempt at unauthorized access to sensitive information. These apprehensions regarding security have been effectively addressed by leveraging robust cryptographic protocols such as the AES‐256 algorithm. This algorithm encrypts messages, transmitting the encrypted data across the network, thereby restricting visibility solely to intended recipients and providing a secure data exchange. The effectiveness of our proposed solution is rigorously evaluated using the Hyperledger Caliper tool. The evaluation encompasses pivotal performance metrics, average latency, throughput, success rate, resource consumption, and traffic.