A Survey of Efficient Light Weight Cryptography Algorithm for Internet of Medical Things

• Main Authors: Thilagaraj, M., Arul Murugan, C., Ramani, U., Ganesh, C., Sabarish, P.
• Format: Conference Proceeding
• Language: English
• Subjects: Advanced Encryption Standard; Decoder-Switch-Encoder; Encryption; Internet of Things; Light Weight Cryptography; Sensors; Size measurement; Wearable computers; Weight measurement; Wireless communication; Wireless sensor networks
• ISSN: 2575-7288
• DOI: 10.1109/ICACCS57279.2023.10112818

The evolution of Internet of Things (IoT) promotes patient's monitoring and diagnose is tremendously. A wireless sensors of minute size are implanted into the victim's body to measure physiological parameters such as heart rate, glucose level etc continuously. The nodes present inside Wireless Sensor Networks (WSN) are monitored through the internet. So, it is much prone to the wearable devices being overwhelmed and accessed by an unauthorized user as a result of its physical nature. The physiological information of an individual is highly emotional. Therefore, security is considered as a vital requirement for healthcare applications notably if a patient struggles from a severe disease. Thus, Light Weight Cryptography (LWC) encryption schemes were introduced as a primitive measure to secure the required data from threats. The essential requirements of LWC algorithm are reduced area, power consumption, high security, and efficient Processing. In this work, AES (Advanced Encryption Standard) algorithm with Decoder -Switch - Encoder (DSE) - Substitution (S) box technique are used followed by modular inverse and affine transformation process for high security and smaller area. Furthermore, pipelining, branch parallel operations and loop unrolling are also utilized for efficient processing.