Analysing the Integration of AES-256 Encryption and HMAC Hashing in IoT Smart Healthcare Systems

Abstract

The exponential growth of Internet of Things (IoT) technology has been a driving force in the development of smart healthcare systems, facilitating patient monitoring and clinical decision support. It uses IoT-enabled medical devices and wearable sensors under the umbrella of Internet of Medical Things (IoMT) to continuously monitor health from afar. Yet, the fundamental security weaknesses of IoT structure and the high sensitivity of medical data reveal serious security and privacy problems. Therefore, this research suggests a comprehensive security framework to provide the confidentiality, integrity, and authenticity of data transmission in IoMT ecosystems. At the physical layer, the framework utilizes AES-256 encryption and HMAC (Hash-based Message Authentication Code) hashing to minimize cyber threats and prevent unauthorized access. The only additional computation cost at any performance evaluation is negligible, but we gain a lot more in terms of security on the data. The findings confirm the seeing of implementation and demonstration of a feasible security model to protect the multifarious healthcare architecture from ever- existing threats created by the number of cyber-attacks.