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For the smart vehicular network, we studied two technologies to realize it.The first technology is the cooperative scheme which improves capacity byproperly combining the V2V and V2I. The second technology is an online learningalgorithm which can deal with the beam selection problem in mmWave system. Bothare effective and can be used in autonomous driving systems. However,advancements in the field of IoV have elicited research in different areasrelated to the field. This highlights a critical need to address security andprotection challenges as a result of the progression of vehicles and everythingthat is being transferred to the internet. In addition, to understand exactlywhere research is missing regarding IoV, we found that a survey of currentresearch in the vulnerabilities and threats to general IoT applications. Inaddition to other attacks, we found that DDoS attacks in the form of botnetsare significant threats to the IoT world. Upon researching which threats andvulnerabilities are leveraged in IoV research, the field was severely lackingin botnet and DDoS attack research. If developers neglect to address this issuebefore interconnected vehicles become a mainstream reality, this discovery canhave severe ramifications for the safety of IoV consumers around the globe.

The Dark Side of The Internet of Vehicles: A Survey of the State of IoV and its Security Vulnerabilities