Basic Safety Message (BSM) Test Data Generation for Vehicle Security Machine Learning Systems

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.