2022/11/07 by Tess Christensen, Christensen, Tess, Sai Bhargav Mandavilli +3
Computer Science · Engineering · #Advanced Malware Detection Techniques #Cryptography and Security (cs.CR) #Digital and Cyber Forensics #FOS: Computer and information sciences #FOS: Electrical engineering #Systems and Control (eess.SY) #Vehicular Ad Hoc Networks (VANETs) #electronic engineering #information engineering
paper · pdf · doi:10.48550/arxiv.2211.05775
openalex publication_date 2022/11/07 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
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.