基于双联支持向量机的入侵检测技术

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。

Intrusion detection technology based on twin support vector machine

To improve the performance of network intrusion detection system, an intrusion detection method based on twin support vector machine(TWSVM) was proposed. The basic principle of network intrusion detection system was introduced, an intrusion detection classifier was proposed and an intrusion detection model based on TWSVM was put forward. Moreover, the intrusion detection system based on TWSVM was tested by simulation. The experimental results showed that the intrusion detection method based on TWSVM was applicable to the intrusion detection system, for it could detect the computer network security at a high speed and high precision when there were rare sample data.