基于支持向量机的4G室内物理层认证算法

针对传统的物理层安全算法没有充分利用信道特性这一问题，提出一种物理层信道检测方案。针对4G无线信道的本质特性，结合假设检验方法，利用支持向量机（SVM）对信道向量指标进行挖掘，从而判决是否存在仿冒攻击者。仿真实验中，所提算法在线性核函数下的判决准确率为98%以上，在径向基函数（RBF）下的判决准确率为99%以上。实验结果表明，所提算法能够充分利用空间不同位置的无线信道特性，实现逐条信息源的认证，增强系统的安全性。

4G indoor physical layer authentication algorithm based on support vector machine

Aimming at the problem that the traditional physical layer security algorithm does not make full use of the channel,a new physical layer channel detection algorithm was proposed. In view of the essential properties of 4G wireless channel, combined with the hypothesis testing, Support Vector Machine (SVM) was used to analyse the metrics of channel vector to decide whether there are counterfeit attackers or not. Simulation experiments show that the accuracy of the proposed algorithm based on linear kernel is more than 98%, and the accuracy of the proposed algorithm based on Radial Basis Function (RBF) is more than 99%. The proposed algorithm can make full use of the wireless channel characteristics of different spatial locations to implement authenticaton of information source one by one, and hence enhances the security of the system.