Secure V2X Communication Network based on Intelligent PKI and Edge Computing

被引:76
作者
Qiu, Han [1 ]
Qiu, Meikang [2 ]
Lu, Ruqian [3 ,4 ]
机构
[1] Telecom ParisTech, LTCI, Paris, France
[2] Columbia Univ, New York, NY 10027 USA
[3] Chinese Acad Sci, Beijing, Peoples R China
[4] Chinese Acad Sci, Inst Comp Technol, Beijing, Peoples R China
来源
IEEE NETWORK | 2020年 / 34卷 / 02期
关键词
Vehicle-to-everything; Servers; Security; Edge computing; Prediction algorithms; Autonomous vehicles; TECHNOLOGIES; SYSTEM;
D O I
10.1109/MNET.001.1900243
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
The current remarkable development of communication technology is enabling the intelligent driving system by providing a V2X network to exchange and process transportation data. However, security, as a fundamental requirement, is still lacking in many aspects of current V2X networks. For V2X networks, low latency, as a critical requirement for V2X networks, restrains usage of traditional security functions as security related operations like Public Key Infrastructure (PKI) systems also introduce latency. In this article, we propose an efficient scheme by intelligently distributing keys for authentication in V2X networks. The general design is to distribute key pairs valid according to the location information for vehicles and RoadSide Units (RSUs). Thus, based on this authentication scheme relying on location information, keys can be pre-distributed according to the vehicles' future locations. Also, we propose to use the Recurrent Neural Network (RNN) to predict the future route and locations which can let the key requests started from the vehicles' ends. The key idea is to provide an intelligent and efficient key distribution protocol for V2X networks. Some experimental results prove the efficiency with evaluations on our proposal compared with the existing solution.
引用
收藏
页码:172 / 178
页数:7
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