论文标题
连接和自动化车辆的安全性
Security of Connected and Automated Vehicles
论文作者
论文摘要
运输系统正在迅速使用新的连接和自动化车辆（CAV）技术，这些技术将骑士与网络物理系统（CPS）中的其他车辆和路边基础设施集成在一起。通过连通性，骑士会影响其环境，反之亦然，增加了网络攻击表面的大小以及恶意参与者剥削安全脆弱性的风险。因此，对潜在的CAV-CPS网络攻击的了解和防止它们的方式是一个高度的重点。在本文中，我们描述了CAV-CPS网络攻击表面和安全漏洞，并概述了潜在的网络攻击检测和缓解策略。我们研究新兴技术 - 人工智能，软件定义的网络，网络功能虚拟化，边缘计算，以信息为中心和虚拟分散网络，第五代（5G）蜂窝网络，区块链技术，量子链技术以及Quantum Syptography-作为帮助确保Cavs and Clansportation Cavs and Infrastration Infrastruction和Future Cyberats的潜在解决方案。
The transportation system is rapidly evolving with new connected and automated vehicle (CAV) technologies that integrate CAVs with other vehicles and roadside infrastructure in a cyberphysical system (CPS). Through connectivity, CAVs affect their environments and vice versa, increasing the size of the cyberattack surface and the risk of exploitation of security vulnerabilities by malicious actors. Thus, greater understanding of potential CAV-CPS cyberattacks and of ways to prevent them is a high priority. In this article we describe CAV-CPS cyberattack surfaces and security vulnerabilities, and outline potential cyberattack detection and mitigation strategies. We examine emerging technologies - artificial intelligence, software-defined networks, network function virtualization, edge computing, information-centric and virtual dispersive networking, fifth generation (5G) cellular networks, blockchain technology, and quantum and postquantum cryptography - as potential solutions aiding in securing CAVs and transportation infrastructure against existing and future cyberattacks.
