Blockchain-enabled Secure Privacy-preserving System for Public Health-center Data

• Main Authors: Islam, Md. Shohidul, Mohamed Ariff, Ameedeen, Ajra, Husnul, Zahian, Ismail
• Format: Article
• Language: English
• Published: The Science and Information Organization 2023
• Subjects: QA Mathematics; QA75 Electronic computers. Computer science; QA76 Computer software
• Online Access: http://umpir.ump.edu.my/id/eprint/37757/1/Paper_118-Blockchain_enabled_Secure_Privacy_preserving_System.pdf; http://umpir.ump.edu.my/id/eprint/37757/; https://thesai.org/Downloads/Volume14No5/; https://dx.doi.org/10.14569/IJACSA.2023.01405118

Health center data implicates a large scale of individual health records and is immensely concealment sensory. In the virtual era of large-size data, the increasingly different health informatization causes it important that health data needs to be stored precisely and securely. However, daily health data transactions carry the risk of privacy leaks that make sharing difficult. Moreover, the recently permitted blockchain applications suffer from deficient performance and lack of privacy. This study presents a privacy-preserving and secure sharing and storage system for public health centers based on the blockchain method to dispose of these issues. This system utilizes a hash-256-based access controller and transaction signature with the consensus policy and provides security to share and store health data in the blockchain. In this approach, blockchain guarantees scalability, privacy, integrity, and availability for data retention. Also, this paper measures the performance of transactions with supporting confidentiality-preserving and shows the average transaction time and acceptable latency when accessing health data.