Research On Spectrum Sensing Data Falsification Attack And Defense Method In Internet Of Vehicles

With the rapid development of intelligent transportation system and driverless technology,the number of vehicle networking users and vehicle network equipment is increasing,and the communication demand is increasing explosively,and the demand for spectrum resources is also expanding.Cognitive radio technology can effectively solve the shortage of spectrum resources through spectrum sharing,so it is introduced into the Internet of Vehicles.Spectrum sensing is an important part of sharing spectrum resources.Cognitive vehicle networking uses distributed spectrum sensing algorithm to reach consensus through the interaction of sensing data between nodes.Therefore,accurate sensing data is a prerequisite to ensure that users are not disturbed and efficient use of spectrum resources.An attacker can influence the spectrum sensing decision by tampering with the spectrum sensing data,thereby interfering with other users ’ communication or preventing other users from using the frequency band,which seriously affects the network performance.In the existing research,the problem of tampering attack defense of spectrum sensing data in fixed networks is often considered,which is not suitable for fast mobile Internet of vehicles.This thesis first introduces and implements the spectrum sensing data tampering attack in cognitive vehicular ad hoc networks,and analyzes the impact of spectrum sensing data tampering attack on the performance of distributed cooperative spectrum sensing algorithm in the dynamic environment of vehicular ad hoc networks.Then,a method to prevent spectrum sensing data tampering attack is proposed.The main research contents are as follows:(1)Analyze the security challenges of cognitive vehicle networking and the difference between cognitive vehicle networking and spectrum sensing security threats in traditional cognitive radio technology.Aiming at the dynamic distributed scene of Internet of vehicles,the specific characteristics and attack model of SSDF attack are analyzed,and the simulation experiment of spectrum sensing data tampering attack is carried out,and its influence on the accuracy of cognitive spectrum sensing data of Internet of vehicles is analyzed.(2)By analyzing the characteristics of spectrum sensing data tampering attacks in the scenario of Internet of Vehicles,a distributed cooperative spectrum sensing method based on outlier detection and trust is proposed.This method combines outlier detection,trust management and blockchain technology.Through sub-network division,data interaction simplification,outlier detection and node trust management,blockchain technology is used to store trust information to achieve accurate defense of spectrum sensing data tampering attacks.Finally,the simulation results show that the proposed method has certain performance advantages compared with the traditional distributed cooperative spectrum sensing scheme.