论文标题
汽车互联网的阴暗面：对IOV状况及其安全漏洞的调查
The Dark Side of The Internet of Vehicles: A Survey of the State of IoV and its Security Vulnerabilities
论文作者
论文摘要
对于智能车辆网络，我们研究了两种技术来实现它。第一个技术是合作计划，该计划通过正确组合V2V和V2I来提高容量。第二种技术是一种在线学习算法，可以处理MMWave系统中的光束选择问题。两者都是有效的，可以用于自主驾驶系统。但是，IOV领域的进步在与该领域有关的不同领域引起了研究。这凸显了由于车辆的发展以及将所有已转移到互联网的一切而解决安全性和保护挑战的迫切需求。此外，为了确切了解有关IOV的研究，我们发现对一般物联网应用程序的漏洞和威胁的当前研究调查。除了其他攻击之外，我们还发现以僵尸网络形式的DDOS攻击是对物联网世界的重大威胁。在研究了IOV研究中利用了哪些威胁和脆弱性的情况下，僵尸网络和DDOS攻击研究严重缺乏该领域。如果开发人员在互连车辆成为主流现实之前忽略了解决这个问题，那么这一发现可能会对全球IOV消费者的安全产生严重的影响。
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.
