ICO-IAES: LIGHTWEIGHT CRYPTOGRAPHIC FRAMEWORK FOR NANO-SENSOR BASED HEALTHCARE MONITORING SYSTEMS

Abstract

With the advent of nano-sensor technology in healthcare monitoring systems, real-time collection and transmission of physiological data is made possible, which allows for continuous monitoring and management of patients' health. But the limited resources of the nano-sensors make secure and energy-efficient communication challenging. Typical cryptographic methods usually have a high computational and energy cost, making them less practical in the context of nano-healthcare applications. To overcome these issues, this paper introduces a lightweight cryptographic framework, which combines Lionized Remora Optimization (LRO), Iterative Cosine Operator (ICO) and Improved Advanced Encryption Standard (IAES) techniques for secure transmission of healthcare data. Under the proposed scheme, LRO is used to generate high entropy optimal encryption key and ICO is used to increase the resistance to the statistical attack and the randomness of the data through iterative transformation. Then, IAES does light-weight encryption and decryption of the data with low computation complexity. Experimental testing proves that the proposed system has better encryption and decryption times, lesser computational load and lesser energy consumption as compared to other existing cryptographic systems. In addition, the framework achieves a higher throughput and has an entropy value of 7.997, and has an avalanche effect of 51.84% which is high resistance against cryptanalytic attacks. The security performance index (SPI) calculated as the result is 5.87, which is consistent with excellent security strength, communication efficiency and resource utilization. The proposed framework is scalable and efficient security solution for applications where nano-sensors are used for healthcare monitoring and Internet of Medical Nano-Things (IoMNT)..