Enhanced Homomorphic Encryption and Dual Blockchain Authentication for Securing Medical Data on the Internet of Things

Abstract

This research presents Enhanced Homomorphic Encryption (DBA-EHE) and Dual Blockchain Authentication as methods for protecting medical data on the Internet of Things (IoT). Two authentication layers make up DBA-EHE: edge-based and blockchain-based. When Internet of Things devices interface with network edges for data processing and storage, the centralized authentication layer is implemented. In order to provide decentralized authentication, safe communication, and information sharing between authenticated IoT devices and edge networks, the blockchain layer is concurrently connected to edge networks. Online medical data platforms are used to validate the proposed technique. The introduction of Enhanced Homomorphic Encryption (EHE) strengthens the security of medical data even more. To choose the best key, EHE makes use of the Homomorphic Encryption (HE) and the Coati Optimization Algorithm (COA). The suggested approach is implemented in MATLAB, and metrics such as energy consumption, end-to-end delay, processing time, encryption time, decryption time, authentication time, and communication overhead are used to assess the method's performance. A comparative study between the suggested methodology and conventional methodologies shows its higher performance.