| Security is a fundamental issue for new wireless networks.Strengthening the overall network security assurance system and building network security capabilities are critical to ensuring the success of upper-layer applications.However,current research on physical layer security typically assumes perfect channel state information(CSI)and overlooks the importance of the reverse training phase required to obtain CSI.This enables eavesdroppers to improve their eavesdropping performance and reduce the legitimate receiver’s reception performance by attacking the reverse training phase of wireless communication.This paper focuses on two security mechanisms: physical layer security and covert communication.Through the design of anti-interception waveforms,the confidentiality and secrecy of wireless signal communication are achieved.In response to the active attack problem in physical layer security,a phase rotation-based random pilot detection scheme is proposed by simulating and comparing different detection methods to improve the system’s detection performance.Finally,the optimal covert waveform is theoretically derived,and secure communication at spatial locations is achieved through waveform design.The specific research process of this paper is as follows:Firstly,this article analyzes the Time Division Duplex(TDD)system model and discusses how a passive attacker can improve its eavesdropping performance by attacking the reverse training phase in wireless communication.In the worst case scenario where the transmissions of both parties’ signals are completely synchronized,several active attack detection methods are introduced,including detection methods that rely on channel parameters and detection methods that involve special waveform designs.The article also provides a detailed introduction to the double pilot random detection scheme in the waveform design method,as well as the advantages and applications of large-scale MIMO systems in physical layer security.For the case where the transmissions of both parties’ signals are not synchronized,a method using the good correlation of m-sequences to detect Eve is proposed.Secondly,based on a general covert communication system model,the article analyzes its low detection probability characteristics.Secondly,in response to the systematic error of the traditional dual-pilot random detection scheme,an improved model based on one-dimensional phase rotation was proposed to eliminate the situation where Eve cannot be detected under certain probabilities,thus improving the system performance.In order to improve the detection performance of the system at low signal-to-noise ratio,a constant correction was applied to the above method,which can significantly improve the detection probability of Eve while slightly increasing the false alarm probability.Performance analysis was conducted on the detection schemes in large-scale MIMO and traditional MIMO scenarios.Finally,the optimal detection model for covert communication was studied,and the theoretical derivation of the best covert waveform was carried out.The covert performance is strongest when the waveform has complex Gaussian characteristics.A high-dimensional rotation modulation waveform based on spatial position points was proposed,and controllable artificial noise(AN)was added to the system to enhance the concealment of the signal.Then,the existence of the signal carrier frequency was detected using the square doubling frequency detection method,and the anti-carrier detection performance of the high-dimensional rotation modulation waveform was compared and analyzed with that of the traditional direct spreading sequence waveform.Simulation results demonstrated the advantages of high-dimensional rotation modulation waveform in anti-carrier detection performance. |