An efficient privacy-preserving control mechanism based on blockchain for E-health applications

The development of the Internet of Things (IoT) has opened up new horizons in the field of remote health data analysis to obtain smart healthcare. However, protecting patients' data privacy seems challenging because medical files are so sensitive. There are significant risks to data confidentiality associated with storing patient health information on third-party servers. The covid-19 epidemic also enhanced the need for a temperature sensor-based respiratory monitoring device. Sharing electronic health records can aid with diagnostic accuracy when privacy and security protection are important system challenges. Due to the benefits of immutability, blockchain has been suggested as a possible option to enable personal health data exchange with privacy and security protection. This work suggests a safe and privacy-preserving diagnostic enhancement strategy for e-Health platforms based on blockchain technology, which addresses the inadequacy of previous work in these regards. The proposed work proposes an effective access control system that would let data owners specify their preferred access controls over their privacy-sensitive medical data. Users could utilize their user transactions for key generation to efficiently cancel or add authorized doctors. Experimental data and security analyses demonstrate the proposed Health-chain's suitability for use in smart healthcare systems. The thorough experimental investigation demonstrates the blockchain's effectiveness of computing and time consumption as well as its resistance to numerous security assaults.(c) 2023 THE AUTHORS. Published by Elsevier BV on behalf of Faculty of Engineering, Alexandria University. This is an open access article under the CC BY-NC-ND license(http://creativecommons.org/ licenses/by-nc-nd/4.0/).