An Authentication-Centric Multi-Layered Security Model for Data Security in IoT-Enabled Biomedical Applications

Abstract

IoT-enabled technologies have been creating phenomenal impacts in the field of biomedical applications ever since the advancements in ubiquitous computing has begun. Securing these biomedical applications has always been a key concern due to the highly openness nature of Wireless Computing Technologies (WCT) to the vulnerabilities. Access control is an important factor in designing a security system for such applications which involves seamless healthcare devices. However, several existing approaches provide token-based access control mechanisms that are still facing the challenges in integrating the multilayered security architecture. In this regard, the proposed model contributes towards in designing two-way authentication centric and generic security framework for healthcare applications under the protected resource accessing environment. The model features its heterogeneous set of users to interact with the token-based resource accessing environment in healthcare scenario, preventing unauthorized users accessing the personalized medical devices. The proposed model produced the extensive better results in comparison with conventional single layered security approaches in terms of Human to Machine (H2M) interactions under the presumption of distributed and context-aware approaches