Title
Reliable and Efficient Content Sharing for 5G-Enabled Vehicular Networks
Abstract
Conditional privacy preservation and message authentication serve as the primary research issues in terms of security in vehicular networks. With the arrival of 5G era, the downloading speed of network services and the message transmission speed have significantly improved. Consequently, the content exchanged by users in vehicular networks is not limited to traffic information, and vehicles moving at high speeds can share a wide variety of contents. However, sharing content reliably and efficiently remains challenging owing to the fast-moving character of vehicles. To solve this problem, we propose a reliable and efficient content sharing scheme in 5G-enabled vehicular networks. The vehicles with content downloading requests quickly filter the adjacent vehicles to choose capable and suitable proxy vehicles and request them for content services. Thus, the purpose of obtaining a good hit ratio, saving network traffic, reducing time delay, and easing congestion during peak hours can be achieved. The security analysis indicates that the proposed scheme meets the security requirements of vehicular networks. Our cryptographic operations are based on the elliptic curve, and finally, the proposed scheme also displays favorable performance compared to other related schemes.
Year
DOI
Venue
2022
10.1109/TITS.2020.3023797
IEEE Transactions on Intelligent Transportation Systems
Keywords
DocType
Volume
Message authentication,content sharing,elliptic curve,vehicular networks,privacy preservation
Journal
23
Issue
ISSN
Citations 
2
1524-9050
1
PageRank 
References 
Authors
0.35
0
5
Name
Order
Citations
PageRank
Jie Cui115321.52
Jiayi Chen210.35
Hong Zhong39018.46
Jing Zhang4606.90
Lu Liu513425.39