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.

中文翻译：

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基于智能PKI和边缘计算的安全V2X通信网络


当前通信技术的显着发展正在通过提供V2X网络来交换和处理交通数据来实现智能驾驶系统。然而，安全性作为一项基本要求，目前的V2X网络在很多方面仍然存在欠缺。对于 V2X 网络，低延迟作为 V2X 网络的关键要求，限制了传统安全功能的使用，因为公钥基础设施 (PKI) 系统等安全相关操作也会引入延迟。在本文中，我们提出了一种有效的方案，通过智能地分配 V2X 网络中的身份验证密钥。总体设计是根据车辆和路边单元（RSU）的位置信息分发有效的密钥对。因此，基于这种依赖于位置信息的认证方案，可以根据车辆的未来位置来预先分配密钥。此外，我们建议使用循环神经网络（RNN）来预测未来的路线和位置，这可以让关键请求从车辆的末端开始。关键思想是为V2X网络提供智能、高效的密钥分发协议。一些实验结果证明了我们的建议与现有解决方案相比的效率。