Attack Mitigation in Adversarial Platooning Using Detection-Based Sliding Mode Control

Imran Sajjad, D. D. Dunn, Rajnikant Sharma, Ryan M. Gerdes
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引用次数: 24

Abstract

In this paper, we consider a mitigation strategy to prevent a vehicle controlled by an attacker from causing collisions in a vehicular platoon. An adversarial-aware control scheme, based on sliding mode control using only local sensor information and a decentralized attack detector, is shown to significantly reduce the number and severity of collisions, without the need for inter-vehicle or vehicle-to-infrastructure communication. Simulations demonstrate that collisions are eliminated (or significantly reduced) when the attacker and normal vehicles have same capabilities, and collisions are reduced even with more powerful attackers.
基于检测的滑模控制对抗队列攻击缓解
在本文中,我们考虑了一种缓解策略,以防止攻击者控制的车辆在车辆排中造成碰撞。一种基于滑模控制的对抗感知控制方案,仅使用本地传感器信息和分散的攻击检测器,可以显着减少碰撞的数量和严重程度,而无需车辆间或车辆与基础设施之间的通信。仿真表明,当攻击者和普通车辆具有相同的能力时,碰撞被消除(或显著减少),即使攻击者更强大,碰撞也会减少。
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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