Driving Training-Based Optimization-Enabled Key Generation Approach for Secure and Efficient Authentication with Data Sharing Approach in IoT Healthcare

Blockchain technology (BT) offers a solution to the interoperability issues that currently plague health information systems. Additionally, BT provides the cutting-edge standard that ensures the safe exchange of computerized health data among healthcare providers, institutions, people, and medical specialists. Recently, both business and academics recognized the Internet of Things (IoT) as one of the top study fields. Nevertheless, a significant issue in IoT healthcare across a number of product domains is the secrecy of patient health data transmission. For secure and effective authentication with data sharing strategy in IoT healthcare, a method called Driving Training-Based Optimization (DTBO) Key generation is presented to address these issues. The entities involved in the proposed DTBO_Key generation technique are the user, owner, authenticating minor, blockchain, and IoT server. The suggested technique consists of seven stages: initialization, registration phase, key creation, login phase, data protection, authentication process, and verification phase. A minimum memory consumption of 2.983 MB, a computation cost of 28.008%, and an accuracy of 0.9 were attained using the proposed method.