Protecting Medical Data on the Internet of Things with an Integrated Chaotic-GIFT Lightweight Encryption Algorithm

The secure transmission of medical data is crucial for the protection of patients' privacy and confidentiality. With the advent of IoT in healthcare, medical data is being transmitted over networks that are vulnerable to cyberattacks. Therefore, there is an urgent need for lightweight yet secure encryption algorithms that can protect medical data in transit. In this paper, we propose an integrated Chaotic-GIFT algorithm for lightweight and robust encryption of medical data transmitted over IoT networks. The proposed algorithm combines the chaos theory with a lightweight block cipher to provide secure and efficient encryption of medical data. The Chaotic-GIFT algorithm employs bit-level shuffling and substitution of medical images to provide encryption, while the chaotic sequence generated by the logistic map is used as the cryptographic key for added security. The proposed Chaotic-GIFT algorithm provides a lightweight and efficient solution for the secure transmission of medical data over IoT networks. Evaluation of the algorithm's effectiveness was conducted using multiple metrics including encryption and decryption time, throughput, avalanche effect, non-linearity analysis, and correlation coefficient.