  For the smart vehicular network, we studied two technologies to realize it.
The first technology is the cooperative scheme which improves capacity by
properly combining the V2V and V2I. The second technology is an online learning
algorithm which can deal with the beam selection problem in mmWave system. Both
are effective and can be used in autonomous driving systems. However,
advancements in the field of IoV have elicited research in different areas
related to the field. This highlights a critical need to address security and
protection challenges as a result of the progression of vehicles and everything
that is being transferred to the internet. In addition, to understand exactly
where research is missing regarding IoV, we found that a survey of current
research in the vulnerabilities and threats to general IoT applications. In
addition to other attacks, we found that DDoS attacks in the form of botnets
are significant threats to the IoT world. Upon researching which threats and
vulnerabilities are leveraged in IoV research, the field was severely lacking
in botnet and DDoS attack research. If developers neglect to address this issue
before interconnected vehicles become a mainstream reality, this discovery can
have severe ramifications for the safety of IoV consumers around the globe.
