Secure and dynamic access control for the Internet of Things (IoT) based traffic system

PeerJ Comput Sci. 2021 May 10;7:e471. doi: 10.7717/peerj-cs.471. eCollection 2021.

Abstract

Today, the trend of the Internet of Things (IoT) is increasing through the use of smart devices, vehicular networks, and household devices with internet-based networks. Specifically, the IoT smart devices and gadgets used in government and military are crucial to operational success. Communication and data sharing between these devices have increased in several ways. Similarly, the threats of information breaches between communication channels have also surged significantly, making data security a challenging task. In this context, access control is an approach that can secure data by restricting unauthorized users. Various access control models exist that can effectively implement access control yet, and there is no single state-of-the-art model that can provide dynamicity, security, ease of administration, and rapid execution all at once. In combating this loophole, we propose a novel secure and dynamic access control (SDAC) model for the IoT networks (smart traffic control and roadside parking management). Our proposed model allows IoT devices to communicate and share information through a secure means by using wired and wireless networks (Cellular Networks or Wi-Fi). The effectiveness and efficiency of the proposed model are demonstrated using mathematical models and discussed with many example implementations.

Keywords: Attributed RBAC; Dynamic access control; Machine learning; Secure IoT; Social computing.

Grant support

This research is funded by International Scientific and Technological Innovation Cooperation Project in Sichuan Province (Project ID 2020YFH0062). This work was also supported by the Taif University researchers supporting project (TURSP-2020/231), Taif University, Saudi Arabia. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.