为提高网络入侵检测系统的性能,提出基于双联支持向量机的入侵检测方法。介绍网络入侵检测系统工作的基本原理;引入双联支持向量机和入侵检测分类器;构建基于双联支持向量机的入侵检测模型。仿真结果表明,该方法可以在样本数据很少的情况下,高速率、高精度地对计算机网络安全进行检测,适用于入侵检测系统。 In order to improve the performance of network intrusion detection system, intrusion detection method based on double support vector machines is proposed. Introduce the basic principle of network intrusion detection system; introduce double support vector machine and intrusion detection classifier; build intrusion detection model based on double support vector machine. Simulation results show that this method can detect computer network security with high speed and accuracy with little sample data and is suitable for intrusion detection system.