Convoy: Physical Context Verification for Vehicle Platoon Admission

Jun Han, M. Harishankar, Xiao Wang, Albert Jin Chung, P. Tague
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引用次数: 39

Abstract

Truck platooning is emerging as a promising solution with many economic incentives. However, securely admitting a new vehicle into a platoon is an extremely important yet difficult task. There is no adequate method today for verifying physical arrangements of vehicles within a platoon formation. Specifically, we address the problem of a platoon ghost attack wherein an attacker spoofs presence within a platoon to gain admission and subsequently execute malicious attacks. To address such concerns, we present Convoy, a novel autonomous platoon admission scheme which binds the vehicles' digital certificates to their physical context (i.e., locality). Convoy exploits the findings that vehicles traveling together experience similar context to prove to each other over time that they are co-present. Specifically, they experience similar road (e.g., bumps and cracks) and traffic (e.g., acceleration and steering) conditions. Our approach is based on the ability for vehicles to capture this context, generate fingerprints to establish shared keys, and later bind these symmetric keys to their public keys. We design and implement the Convoy protocol and evaluate it with real-world driving data. Our implementation demonstrates that vehicles traveling in adjacent lanes can be sufficiently distinguished by their context and this can be utilized to thwart platoon ghost attacks and similar misbehavior.
车队:车辆排入场的物理背景验证
卡车车队正在成为一个有前景的解决方案,有许多经济激励措施。然而,让一辆新车安全地进入车队是一项极其重要但又困难的任务。目前还没有足够的方法来验证排队内车辆的物理安排。具体来说,我们解决了排鬼攻击的问题,其中攻击者在排中欺骗存在以获得许可并随后执行恶意攻击。为了解决这些问题,我们提出了Convoy,这是一种新颖的自主车队准入方案,它将车辆的数字证书与其物理环境(即位置)绑定在一起。车队利用了这样的发现:车辆在一起行驶时,会经历相似的环境,随着时间的推移,它们会向彼此证明它们是共同存在的。具体来说,它们经历了类似的道路(例如,颠簸和裂缝)和交通(例如,加速和转向)条件。我们的方法是基于车辆捕获此上下文的能力,生成指纹以建立共享密钥,然后将这些对称密钥绑定到它们的公钥。我们设计并实现了护航协议,并用实际驾驶数据对其进行了评估。我们的实现表明,在相邻车道上行驶的车辆可以根据它们的环境充分区分,这可以用来阻止排鬼攻击和类似的不当行为。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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