摘要
如何设计快速有效的安全措施来防范未经授权访问系统的资源和数据,是当前公安系统网络安全领域的一个重要而迫切的问题。本文提出一种基于支持向量机的快速入侵检测方法,利用SVM建立一个入侵检测模型,并且利用较少特征值进行入侵检测,具有快速高效的特点。将本文方法用于KDDCUP1999数据分析其性能,实验结果显示,所提出的入侵检测算法得到较高的检测率和较低的误检率。
how to design fast and effective security measures to protect against unauthorized access to system resources and data, is the current public security system, an important and pressing issues in the field of network security. This pa- per presents an approach based on support vector machines (Support Vector Machine, SVM) fast intrusion detection ap- proach, building an intrusion detection model using SVM and intrusion detection using smaller eigenvalues, with fast and efficient features. This method for KDDCUP1999 data analysis of its performance, the resuhs show: the intrusion detec- tion algorithms have made high detection rate and a low rate of false detections.
出处
《科技通报》
北大核心
2013年第8期68-70,共3页
Bulletin of Science and Technology
基金
国家科技重大专项(2012ZX03002011)
关键词
公安系统
网络完全
入侵检测
支持向量机
public secuiity system
network entirely
Intrusion detection
support vector machine