Abstract

Revolution in the transportation industry was envisioned by self-driving vehicles, with the potential of communication with other vehicles and interaction with other units of the smart environment. With the advent of the Internet of Vehicles(IoV), which is a system that allows communication between vehicles and other static components of the environment and is a convergence of the Internet of Things (IoT), vehicles are considered as an essential part of the network having secure data sensing and processing platforms. Many vehicular ad-hoc networks (VANETs) research focused on the limited set of applications for intelligent transportation systems (ITS) and typically implied safe driving, infotainment, and traffic management. However, it still exhibits an enormous scope of enhancement in various areas of ITS. In this article, we present a new architecture for IoV, keeping in view the different aspects of ITS and discussing how it can mitigate the challenges of secure communication in IoV along with the new visionary solution for authentication. An IoV is highly dynamic, having different topological structures, uneven distribution of nodes, and, therefore, vulnerable to various security and privacy attacks. This article also presents an efficient batch verification scheme having lightweight authentication that uses bilinear map and one-way hash functions to ensure a high level of security within the limited time constraint as compared to single message verification. The proposed scheme has better performance than the existing techniques in terms of computational delay, time complexity, transmission overhead, and energy consumption.

Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.