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Simulating Light-Weight-Cryptography Implementation for IoT Healthcare Data Security Applications
Abstract
Short period monitoring and emergency notification of healthcare signals is becoming affordable with existence of internet of things (IoT) support. However, IoT does not prevent challenges that may hinder the appropriate safe spread of medical solutions. Confidentiality of data is vital, making a real fear requesting cryptography. The limitations in memory, computations processing, power consumptions, and small-size devices contradict the robust encryption process asking for help of low-weight-cryptography to handle practically. This article presents a comparative analysis of performance evaluation of three trusted candidate encryption algorithms, namely AES, SPECK and SIMON, which are simulated and compared in details to distinguish who has the best behaviour to be nominated for a medical application. These encryption algorithms are implemented and evaluated in regard to the execution time, power consumption, memory occupation and speed. The implementation is carried out using the Cooja simulator running on Contiki operating system showing interesting attractive results.
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