Secure and Privacy-Aware Cloud-Assisted Video Reporting Service in 5G-Enabled Vehicular Networks

Abstract

Vehicular networks are one of the main technologies that will be leveraged by the arrival of future fifth-generation (5G) mobile cellular networks. While scalability and latency are the major drawbacks of IEEE 802.11p and fourth-generation (4G) Long-Term Evolution (LTE)-enabled vehicular communications, respectively, the 5G technology is a promising solution to empower the real-time services offered by vehicular networks. However, the security and privacy of such services in 5G-enabled vehicular networks need to be addressed first. In this paper, we propose a novel system model for a 5G-enabled vehicular network that facilitates a reliable, secure, and privacy-aware real-time video reporting service. This service is designed for participating vehicles to instantly report the videos of traffic accidents to guarantee a timely response from official vehicles and/or ambulances toward accidents. While it provides strong security and privacy guarantees for the participating vehicle's identity and the video contents, the proposed service ensures traceability of misbehaving participants through a cooperation scheme among different authorities. We show the feasibility and the fulfillment of the proposed reporting service in 5G-enabled vehicular networks in terms of security, privacy, and efficiency.