Research On The Security Performance Of Wireless Communication Link Based On UAV Assistance

Wireless communication is playing an increasingly important role in many areas of society.Has become an essential(and in some cases ubiquitous)means of communication.And smartphones now outnumber landlines and computers.In the current era,wireless communication are common: they are usually used in homes,workplaces,and many other public pl aces,such as cafes and malls.As wireless technologies become more prevalent in our daily lives,the demand for these technologies is increasing.Although the popularity of wireless technology has brought users indisputable advantages,communication exchanges are exposed to adversary attacks due to the open broadcast nature of wireless signals.Compared to wired communication systems,the increased mobility of wireless communication systems leads to serious security vulnerabilities from the physical layer to the application layer.Therefore,in order to protect wireless signals from malicious attacks and improve the security of data transmission links,this paper studies the data security of UAV-assisted wireless communication links.The main research contents are summarized as follows.1.There are eavesdroppers in the auxiliary wireless communication link of UAV,which leads to the security problem of data transmission.Under the premise of low cost and high profit,we study how to motivate non-offloading users to send jamming power to interfere with eavesdropping drones,so as to improve the security performance of wireless communication links efficiently and economically.Firstly,the relationship between communication link security performance and interference power is revealed by theoretical model.We then presented a scenario consisting of legal drones,ground user groups,and eavesdropping drones.In this scenario,we divide ground users into uninstall users and non-uninstall users.At the same time,the cost function of unloading users and utility function of non-unloading users are defined,and non-unloading users are encouraged to help unloading users to safely unload data into legal UAVs by obtaining unloading user rewards.Considering the selfishness of users,a reverse auction algorithm based on multi-user group is proposed to realize the optimal mapping between non-uninstall users and uninstall users.The results show that this scheme innovatively designs a method for users to cooperate with eavesdroppers,which reduces the cost and improves the utility while maximizing the security of wireless communication links.2.As users need to unload data to the server for processing through wireless communication links,and users have mobility,it is difficult to realize dynamic update of user status and data information in traditional cloud computing data,and it is difficult to ensure security in the process of data unloading.Therefore,when Moblie Edge Computing(MEC)server is deployed on UAV to assist in data processing,how to realize efficient and secure transmission of mobile user data tasks is considered.Firstly,in order to ensure efficient utilization of computing resources,this paper adopts compression algorithm to reduce transmission overhead.Secondly,in order to enhance the security of data transmission process,a security layer is designed in the system model,which mainly adopts the secure multi-party technology and designs the cooperative data transmission algorithm based on artificial intelligence to ensure the efficient and safe transmission of data in the network.Simulation results show that this scheme has better performance than the existing scheme.At the same time,aiming at the problem that mobile users cannot handle all data tasks independently due to the huge amount of data,this paper proposes an efficient and secure multi-user multi-task computing and unloading four-layer model.