TY - EJOU AU - Guo, Juan AU - Liu, Yanzhu AU - Li, Shan AU - Li, Zhi AU - Kherbachi, Sonia TI - Game-Oriented Security Strategy Against Hotspot Attacks for Internet of Vehicles T2 - Computers, Materials \& Continua PY - 2021 VL - 68 IS - 2 SN - 1546-2226 AB - With the rapid development of mobile communication technology, the application of internet of vehicles (IoV) services, such as for information services, driving safety, and traffic efficiency, is growing constantly. For businesses with low transmission delay, high data processing capacity and large storage capacity, by deploying edge computing in the IoV, data processing, encryption and decision-making can be completed at the local end, thus providing real-time and highly reliable communication capability. The roadside unit (RSU), as an important part of edge computing in the IoV, fulfils an important data forwarding function and provides an interactive communication channel for vehicles and server providers. Additional computing resources can be configured to accommodate the computing requirements of users. In this study, a virtual traffic defense strategy based on a differential game is proposed to solve the security problem of user-sensitive information leakage when an RSU is attacked. An incentive mechanism encourages service vehicles within the hot range to send virtual traffic to another RSU. By attracting the attention of attackers, it covers the target RSU and protects the system from attack. Simulation results show that the scheme provides the optimal strategy for intelligent vehicles to transmit virtual data, and ensures the maximization of users’ interests. KW - Edge computing; internet of vehicles; differential games; security defense DO - 10.32604/cmc.2021.016411