This paper presents a subcomponent of an on-going research on connected vehicle security. It proposes techniques on the generation of synthetic Basic Safety Message (BSM) test datasets, both on normal operation and anomalous behavior. The synthetic test data conform with the SAE J2735 Standard on message sets that support vehicle-to-everything (V2X) communications systems. The purpose of such datasets is for the derivation of machine learning systems that can be deployed in a V2X operating environment.
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Details
Title
Basic Safety Message (BSM) Test Data Generation for Vehicle Security Machine Learning Systems
Publication Details
2023 Congress in Computer Science, Computer Engineering, & Applied Computing (CSCE), pp.2515-2520
Resource Type
Conference proceeding
Conference
2023 Congress in Computer Science, Computer Engineering, & Applied Computing (CSCE) (Las Vegas, NV, USA, 07/24/2023–07/27/2023)
Publisher
IEEE
Grant note
1946442 / National Science Foundation (10.13039/100000001)