基于频谱包络特征提取的PUE攻击检测研究

摘要

This paper presents a PUE (Primary User Emulation)attack detection method,which is based on spectral envelope feature ex-traction.On the basis of having demonstrated that the fluctuant features of spectral envelope can be extracted as the fingerprint features,we combine the curve fitting and select the characteristic parameters,and construct the vector which can obviously reflect the fluctuation charac-teristic of spectral envelope,then we differentiate the primary user from PUE attack user by fuzzy c-means clustering.Simulation experimental results show that this method can effectively distinguish primary user and PUE attack user,and has good feasibility and reliability.%提出一种基于频谱包络特征提取的 PUE（Primary User Emulation）攻击检测方法。在论证频谱包络起伏特征可以作为指纹特征提取的基础上，结合曲线拟合，选取特征参数，构建能够明显反映频谱包络起伏特征的向量，通过 FCM聚类区分主用户和PUE 攻击用户。仿真实验表明，该方法能够有效区分主用户和 PUE 攻击用户，具有较好的可行性和可靠性。