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Toward Secure Crowd Sensing in Vehicle-to-Everything Networks
IEEE NETWORK ( IF 6.8 ) Pub Date : 2017-11-28 , DOI: 10.1109/mnet.2017.1700098
Kaigui Bian , Gaoxiang Zhang , Lingyang Song

V2X communication facilitates information sharing between a vehicle and the infrastructure, pedestrians, devices, or any other entity that may affect the vehicle, which is known as a critical component in 5G that promises to realize the vision of connected and autonomous vehicles. Crowd sensing, a.k.a. collective perception, is one of the essential concepts of V2X networks, where vehicles share their information collected by local perception sensors about the environment for improving safety, saving energy, optimizing traffic, and so on. Although the operational aspects of V2X networks are being studied actively, its security aspect has received little attention. In this article, we discuss security issues that may pose serious threats to crowd sensing in V2X networks, and we focus on V2X-specific threats that are unique in V2X networks, e.g. platoon disruption and perception data falsification. We also discuss countermeasures against these threats and the technical challenges th

中文翻译:

在车联网系统中实现安全的人群感应

V2X通信促进了车辆与基础设施,行人,设备或任何其他可能影响车辆的实体之间的信息共享,这被称为5G的关键组件,有望实现互联自动驾驶汽车的愿景。人群感知(也称为集体感知)是V2X网络的基本概念之一,在该网络中,车辆共享由本地感知传感器收集的有关环境的信息,以改善安全性,节能,优化交通等。尽管正在积极研究V2X网络的操作方面,但其安全方面却很少受到关注。在本文中,我们讨论了可能对V2X网络中的人群感知造成严重威胁的安全性问题,并且我们重点研究了V2X网络中独特的特定于V2X的威胁,例如 排扰和感知数据伪造。我们还将讨论针对这些威胁和技术挑战的对策
更新日期:2018-04-03
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