An IoT and Blockchain-Based Secure Medical Care Framework Using Deep Learning and Nature-Inspired Algorithms
Keywords:
IoT, Blockchain, health status prediction, Dwarf mongoose optimization (DMO), improved bumble bee mating optimization algorithm with bi-long short-term memory (IBBMO-Bi-LSTM)Abstract
A secure medical care infrastructure built on the Internet of Things (IoT) and Blockchain can improve the security, privacy, and interoperability of healthcare systems and patient data. A similar structure can take advantage of the positive aspects of both Blockchain (BC) and IoT technology to meet the particular needs and challenges of the healthcare sector. In this study, we suggested the IoT-based blockchain-based safe medical care system employing deep learning and nature-inspired algorithms. In the first stage of the study, a blockchain-based secure data storage system, user authentication, and health status prediction are presented. Dwarf mongoose optimization (DMO) is used for feature extraction and feature selection after min-max normalization has been applied to the data. The health status is classified into normal and abnormal states using the improved bumble bee mating optimization algorithm with bi-long short-term memory (IBBMO-Bi-LSTM). Temporarily, the out-of-the-ordinary measurements are kept in the relevant patient blockchain. Here, medical data is safely stored for further study using blockchain technology. The suggested model is validated by contrasting it with different baseline methodologies and has an accuracy rate, encryption, and decryption time. The proposed methods achieve a security level in terms of security.
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