非合作对抗场景下的隐真示假调制识别方法OA

Against the security threats of signal interception and communication intent exposure in non-cooperative adversarial communication scenarios,this paper proposes the conceal-truth-while-showing-fake modulation recognition method,breaking the traditional passive defense paradigm,for automatic modulation recognition(AMR)in intelligent elec⁃tronic devices.This approach achieves reliable transmission for cooperative links and precise deception for non-cooperative links in adversarial environments.Leveraging the multi-dimensional characteristics of multiple-input multiple-output(MI⁃MO)channels in the time-frequency-spatial domains,this paper designs a data label poisoning method based on feature ex⁃traction of the legitimate-eavesdropper channels,which realizes a covert backdoor trigger mechanism to mislead non-coop⁃erative AMR models while ensuring the accurate and reliable recognition rate of the cooperative party.This method endows communication devices with active defense capabilities and blocks the path for non-cooperative parties to conduct signal theft by utilizing homologous technical equipment from the physical layer.Based on the baseline performance comparison of various AMR models,this paper further evaluates the performance of the proposed method under different antenna con⁃figurations,poisoning rates,deception strategies,and channel estimation phase errors.The experimental results based on typical AMR models show that at a poisoning rate of p=0.4,the attack success rate(ASR)of the method reaches 89.94％in the 4×4 MIMO scenario,a significant increase of 13.66％compared with 76.28％in the single-input single-output(SISO)scenario,while the benign accuracy(BA)of cooperative users is maintained at 89.65％.In addition,at a poisoning rate of p=0.5 and with a maximum channel estimation phase deviation of 15°,the ASR of the proposed method can still be maintained at 89.21％,and the BA of cooperative users is guaranteed to be 87.79％.This demonstrates that the proposed method not on⁃ly ensures the communication reliability of cooperative users but also possesses efficient and robust misleading capabilities against non-cooperative users,providing a new technical paradigm for physical layer security in complex communication environments.