基于码元上升沿特征提取的PUE攻击检测研究

Research on PUE attack detection based on symbol rising edge feature extraction

为了有效解决PUE攻击检测问题,提出了一种基于码元上升沿特征提取的PUE攻击检测方法。在论证码元上升沿特征可以作为细微特征提取的基础上,结合统计分析,定义特征加权差,放大不同辐射源的特征差异,并以此构建新的PUE攻击检测方法。该方法运算简单有效,满足认知无线网的实时快速检测要求。仿真实验表明该方法具有较好的可靠性和稳定性。

In order to effectively solve the problem of PUE attack detection, this paper studied a PUE attack detection method based on feature extraction of symbol rising edge. While expounding symbol rising edge feature could be used as the feature extraction, it defined the feature weighting difference combined with statistics analysis, and made the feature differences more larger between different radiation sources. Then it built a new PUE attack detection method. The method has a simple operation and very effective, and satisfies the real-time detection requirements of cognitive radio network. Simulation experiments show that the method has good reliability and stability.