NWADE: A Neighborhood Watch Mechanism for Attack Detection and Evacuation in Autonomous Intersection Management

Jian Kang, Alian Yu, Wei Jiang, D. Lin
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Abstract

With the advances in autonomous vehicles and intelligent intersection management systems, traffic lights may be replaced by optimal travel plans calculated for each passing vehicle in the future. While these technological advancements are envisioned to greatly improve travel efficiency, they are still facing various challenging security hurdles since even a single deviation of a vehicle from its assigned travel plan could cause a serious accident if the surrounding vehicles do not take necessary actions in a timely manner. In this paper, we propose a novel security mechanism namely NWADE which can be integrated into existing autonomous intersection management systems to help detect malicious vehicle behavior and generate evacuation plans. In the NWADE mechanism, we introduce the neighborhood watch concept whereby each vehicle around the intersection will serve as a watcher to report or verify the abnormal behavior of any nearby vehicle and the intersection manager. We propose a blockchain-based verification framework to guarantee the integrity and trustworthiness of the individual travel plans optimized for the entire intersection. We have conducted extensive experimental studies on various traffic scenarios, and the experimental results demonstrate the practicality, effectiveness, and efficiency of our mechanism.
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NWADE:自主交叉口管理中攻击检测和疏散的邻里监视机制
随着自动驾驶汽车和智能交叉口管理系统的发展,未来交通灯可能会被为每辆经过的车辆计算的最佳出行计划所取代。虽然这些技术进步有望大大提高出行效率,但它们仍然面临着各种具有挑战性的安全障碍,因为如果周围车辆不及时采取必要措施,即使车辆偏离指定的出行计划,也可能导致严重事故。在本文中,我们提出了一种新的安全机制,即NWADE,它可以集成到现有的自主交叉口管理系统中,以帮助检测恶意车辆行为并生成疏散计划。在NWADE机制中,我们引入了邻里监视的概念,即交叉口周围的每辆车都将作为一个观察者,报告或验证附近任何车辆和交叉口管理员的异常行为。我们提出了一个基于区块链的验证框架,以保证针对整个十字路口优化的个人出行计划的完整性和可信度。我们针对各种交通场景进行了广泛的实验研究,实验结果证明了我们机制的实用性、有效性和高效性。
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