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A set of VANET datasets collected from simulations. These contain data from normal and attack messages. The datasets are divided depending on the attack: DoS and Fabrication attack. The DoS attack is then subdivided depending on the frequency of the attack. The fabrication attack is divided into attacks to several parameters, speed, acceleration, and heading. Further explanation can be found in F. Gonçalves, B. Ribeiro, O. Gama, J. Santos, A. Costa, B. Dias, M. J. Nicolau, J. Macedo, and A. Santos, “Synthesizing Datasets with Security Threats for Vehicular Ad-Hoc Networks,” in IEEE Globecom 2020: 2020 IEEE Global Communications Conference (GLOBECOM’2020), Taipei, Taiwan.
attacks, machine learning, datasets, message collection, vanets, security
attacks, machine learning, datasets, message collection, vanets, security
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