BBAuthors: Kumar, S.; Advisor: -; Participants: Singh, K.; Kaiwartya, O.; Cao, Y.; Zhou, H. (2019)
Recently, Internet of vehicles (IoV) has witnessed signi cant research and development attention in both academia and industries due to the potential towards addressing traf c incidences and supporting green mobility. With the growing vehicular network density, jamming signal centric security issues have become challenging task for IoV network designers and traf c applications developers. Global positioning system (GPS) and roadside unit (RSU) centric related literature on location-based security approaches lacks signal characteristics consideration for identifying vehicular network intruders or jammers. In this context, this paper proposes a machine learning oriented as Delimitated A... 
