<?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: Vehicle-to-Infrastructure Security for Reduced Speed Work Zone</dc:title><dc:creator>Mendoza, Patrick M.; Choudhury, Tashfique Hasnine; Ray, Sandip</dc:creator><dc:corporate_author/><dc:editor/><dc:description>We consider the cybersecurity challenges arising from communications between autonomous vehicles and smart infrastructures. In particular, we consider coordination between vehicles and Reduced Speed Work Zones (RSWZ). Malicious or tampered communica- tions between these entities can have catastrophic consequences. We discuss methods for the analysis of such attacks. In particular, we show how to generate congurable, eective vehicular trajecto- ries for exploring such attacks and how to utilize such trajectories in identifying impactful attacks and evaluating defenses.</dc:description><dc:publisher>ACM</dc:publisher><dc:date>2023-10-16</dc:date><dc:nsf_par_id>10494429</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>571 to 573</dc:page_range_or_elocation><dc:issn/><dc:isbn>9781450399265</dc:isbn><dc:doi>https://doi.org/10.1145/3565287.3617980</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>