首页> 外文会议>Wuhan International Conference on E-Business >Research On SVM Detection Of Network Intrusion Based On Vulnerability Scanning
【24h】

Research On SVM Detection Of Network Intrusion Based On Vulnerability Scanning

机译:基于漏洞扫描的网络入侵支持向量机检测研究

获取原文

摘要

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. This paper deals with Intrusion detection technology based on SVM (SUPPORT VECTOR MACHINE) 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 a fewer time.
机译:入侵检测技术是网络安全的重要组成部分,是构成集成安全性的基本模块。入侵检测的通用方法可以检测到通用入侵,但是很难获得变形的入侵和入侵行为。本文采用基于SVM的入侵检测技术(SUPPORT VECTOR MACHINE),在网络安全方面具有暴露能力,可以在有限的时间内主动减少样本数量,有效地提高入侵检测的分类能力,并且可以证明在更短的时间内进行准确的入侵检测。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号