@Article{jiot.2021.017943,
AUTHOR = {Benjamin Kwapong Osibo, Chengbo Zhang, Changsen Xia, Guanzhe Zhao, Zilong Jin},
TITLE = {Security and Privacy in 5G Internet of Vehicles (IoV) Environment},
JOURNAL = {Journal on Internet of Things},
VOLUME = {3},
YEAR = {2021},
NUMBER = {2},
PAGES = {77--86},
URL = {http://www.techscience.com/jiot/v3n2/43103},
ISSN = {2579-0080},
ABSTRACT = {Modern vehicles are equipped with sensors, communication, and 
computation units that make them capable of providing monitoring services and 
analysis of real-time traffic information to improve road safety. The main aim of 
communication in vehicular networks is to achieve an autonomous driving 
environment that is accident-free alongside increasing road use quality. However, 
the demanding specifications such as high data rate, low latency, and high 
reliability in vehicular networks make 5G an emerging solution for addressing 
the current vehicular network challenges. In the 5G IoV environment, various 
technologies and models are deployed, making the environment open to attacks 
such as Sybil, Denial of Service (DoS) and jamming. This paper presents the 
security and privacy challenges in an IoV 5G environment. Different categories 
of vehicular network attacks and possible solutions are presented from the 
technical point of view.},
DOI = {10.32604/jiot.2021.017943}
}