摘要
入侵检测技术是网络安全的重要组成部分,是网络集成解决方案中的重要模块。一般的入侵检测只能检测出一般入侵行为,不能对已入侵及新的变形入侵做出有效判断。基于支持向量机(SVM)对网络的安全漏洞扫描构建的网络入侵检测,减少了有限的时间训练样本数,能有效提高入侵检测的分类性能,以更短响应时间做出更准确的检测判断。
The intrusion detection technology is an important part of network security and a fundamental module in consisting the integration security. The generic method of intrusion detection can detect the generic intrusion, but it is difficult to obtain the deformed intrusion and intruded action. Intrusion detection technology is dealt with based on SVM method with exposure in network security can actively reduce the number of the sample in the limited time, improve the ability of the classification in intrusion detection efficiently, and also can show the accurate intrusion detection in the few time.
出处
《计算机工程与设计》
CSCD
北大核心
2008年第15期3856-3857,4089,共3页
Computer Engineering and Design
关键词
漏洞扫描
向量机
网络入侵
网络安全
模型
vulnerability scanning
SVM
network intrusion
network security
model
