Switch Pattern Encryption Based WBAN Security in an IoT Environment

Abstract

Data security is a major challenge in E health monitoring research. Nowadays Wireless body area networks faces various security threats. Authentication is very much required in health care domain, as an open IOT environment is accessed by all. In this article, we have proposed efficient Light weight embedded cryptographic architecture using switch pattern encryption for WBAN security. The security is ensured to the wearable sensors in such a way that any external unknown entity cannot access patient’s physiological data and deceive the medical professionals. The main aim of this work is to improvise the security and privacy of E healthcare monitoring systems when compared with the existing findings. Proposed algorithm overcomes DoS attacks in the BAN environment and reduces the runtime for the switch pattern encryption algorithm. Signcryption can be included along with switch pattern encryption as a future work in order to achieve confidentiality and authentication in a single step.