Malicious Atack Pevention Model of Internet of Vehicles Based on IOV-SIRS

With the wide application of multiple wireless communication technologies, vehicle nodes realize the connection of various networks such as WiFi, Bluetooth, 802.11p, LTE-V2X, and 5G. Therefore, the attacker accesses the car’s internal network through wireless communication and uses malicious viruses for malicious attacks. These malicious viruses interfere with normal vehicle communication, spoofing, or tamper information, which will seriously threaten the security of the Internet of Vehicles. Therefore, this paper studies propagation dynamics on the Internet of Vehicles establishes an IOV-SIRS prevention model, and calculates the relevant data such as the threshold of virus spread and the degree of an outbreak. Finally, we proved in simulation experiments that the IOV-SIRS model has a good inhibitory effect on malicious virus spread. © 2021, International Journal of Network Security. All Rights Reserved.