Hashem Eiza, M, Ni, Q and Shi, Q (2016) Secure and Privacy-Aware Cloud-Assisted Video Reporting Service in 5G Enabled Vehicular Networks. IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY. ISSN 0018-9545

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Abstract

Vehicular networks are one of the main technologies that will be leveraged by the arrival of the future fifth generation (5G) mobile cellular networks. While scalability and latency are the major drawbacks of IEEE 802.11p and 4G 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 the participating vehicles to instantly report the videos of traffic accidents to guarantee a timely response from official and/or ambulance vehicles 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 fulfilment of the proposed reporting service in 5G enabled vehicular networks in terms of security, privacy and efficiency.

Item Type:	Article
Additional Information:	(c) 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works
Uncontrolled Keywords:	09 Engineering, 08 Information And Computing Sciences, 10 Technology
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions:	Computer Science & Mathematics
Publisher:	Institute of Electrical and Electronics Engineers (IEEE)
Date Deposited:	16 Mar 2016 10:11
Last Modified:	04 Sep 2021 13:11
URI:	https://researchonline.ljmu.ac.uk/id/eprint/3245

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