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Consider a fleet of autonomous vehicles traversing an adversarial terrain that includes obstacles and mines. The goal of the fleet is to ensure that they can complete their mission safely (with minimal casualty) and efficiently (as quickly as possible). In Distributed Coordinated Fleet Management (DCFM), fleet members coordinate with one another while traversing the terrain, e.g., a vehicle encountering an obstacle at a location l can inform other agents so that they can recompute their route to avoid l. In this paper, we consider the problem of cyber-resilient DCFM, i.e., DCFM in an en- vironment where the adversary can additionally tamper with the cyber-communication performed by the fleet members. Our framework, DRIFT, enables fleet members to coordinate in the presence of such adversaries. Our extensive evaluations demonstrate that DRIFT can achieve a high degree of safety and efficiency against a large spectrum of communication adversaries. 

Modern autonomous vehicles are increasingly infused with sensors, electronics, and software software. One consequence is that they are getting increasingly susceptible to cyber-attacks. However, awareness of cybersecurity challenges for automotive systems remains low. In this paper, we consider the problem of developing a virtual reality (VR) infrastructure that can enable users who are not necessarily experts in automotive security to explore vulnerabilities arising from compromised ranging sensors. A key requirement for such platforms is to develop natural, intuitive scenarios that enable the user to experience security challenges and impact. We discuss the challenges in developing such scenarios, and develop a solution that enables exploration of jamming and spoong attacks. Our solution is integrated into a VR platform for automotive se- curity exploration called IVE (Immersive Virtual Environment). It combines realistic driving with a rst-person view, user interaction, and sound eects to provide all the benets of a real-life simulation without the consequences.