Dynamically Configurable Architecture for User Identification and Authentication for Internet of Things Platform
Rafflesia Khan · 2019
With the significant improvement of the deployment of Internet of Things (IoT) into the smart grid infrastructure and the increasing number of connected devices as well as users through the internet, the demand for cyber security is rapidly growing. Which is at the same time producing an acute threat of identity theft, forgery and breach of information security. In order to provide security to every user and device within IoT platform, advance identification and authentication techniques have been investigated by information security users for decades. In this paper, we propose a dynamically configurable connected framework and supporting algorithm which is capable to identify threat and malicious attack through authenticating user or device's identity, controlling service access and establishing trust between object and cloud services. The major contribution of this research work includes a dynamically configurable system framework that is capable of ensuring identification and authentication to every different type of devices within an IoT platform, a scalable system architecture that supports both limited-resource and ensemble devices. Another significant contribution of this work is multi-category security checking that address different aspects of IoT identification and authentication problem. Our proposed system is an application-layer based technology hence, easy to implement and deploy on edge devices and finally we also have presented a comparative discussion with existing approaches.