<?xml version="1.0" encoding="UTF-8"?><rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:dcq="http://purl.org/dc/terms/"><records count="1" morepages="false" start="1" end="1"><record rownumber="1"><dc:product_type>Conference Paper</dc:product_type><dc:title>Poster: Scenario Creation for Immersive Automotive Security Exploration</dc:title><dc:creator>Kwok, Aidan; Owoputi, Richard; Ray, Sandip</dc:creator><dc:corporate_author/><dc:editor/><dc:description>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.</dc:description><dc:publisher>ACM</dc:publisher><dc:date>2023-10-16</dc:date><dc:nsf_par_id>10494431</dc:nsf_par_id><dc:journal_name>MobiHoc '23: Proceedings of the Twenty-fourth International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing</dc:journal_name><dc:journal_volume/><dc:journal_issue/><dc:page_range_or_elocation>565 to 567</dc:page_range_or_elocation><dc:issn/><dc:isbn>9781450399265</dc:isbn><dc:doi>https://doi.org/10.1145/3565287.3617978</dc:doi><dcq:identifierAwardId>2150136</dcq:identifierAwardId><dc:subject/><dc:version_number/><dc:location>Washington DC USA</dc:location><dc:rights/><dc:institution/><dc:sponsoring_org>National Science Foundation</dc:sponsoring_org></record></records></rdf:RDF>