CORC  > 清华大学
一种采用混合检测器的入侵检测系统
王大伟 ; 张凤斌 ; 王胜文 ; WANG Da-wei ; ZHANG Feng-bin ; WANG Sheng-wen
2010-05-12 ; 2010-05-12
关键词人工免疫 入侵检测 否定选择算法 混合检测器 artificail immune intrusion detection negative selection algorithm hybrid detector TP393.08
其他题名Intrusion detection system with hybrid detector
中文摘要传统的基于免疫的入侵检测系统采用低级别的二进制检测器,妨碍了有意义的知识提取,对Nonself空间的覆盖也不完备。对二进制Self集的确定和有效检测器的生成方法进行了改进,研究了实值否定选择算法,加入了实值检测器,构成混合检测器集合,在检测阶段对会话和数据包同时进行异常检测。实验结果ROC曲线表明有较高的检测率和较低的误报率。; The low-level(binary) detector that the traditional artificial-immunity-based network intrusion detection systems adopt prevents the extraction of meaningful domain knowledge,and leads to incomplete cover of Nonself space.In this paper,the method of constructing binary self set and generating valid detector were improved.Real-valued negative selection algorithm was studied and the real-valued detectors were added to construct the hybrid detector congregation to detect abnormal behavior of both packets and sessions at detection stage.The ROC curves of experimental results show that it has higher detection rate and lower false alarm rate.
语种中文 ; 中文
内容类型期刊论文
源URL[http://hdl.handle.net/123456789/27797]  
专题清华大学
推荐引用方式
GB/T 7714
王大伟,张凤斌,王胜文,等. 一种采用混合检测器的入侵检测系统[J],2010, 2010.
APA 王大伟,张凤斌,王胜文,WANG Da-wei,ZHANG Feng-bin,&WANG Sheng-wen.(2010).一种采用混合检测器的入侵检测系统..
MLA 王大伟,et al."一种采用混合检测器的入侵检测系统".(2010).
个性服务
查看访问统计
相关权益政策
暂无数据
收藏/分享
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。


©版权所有 ©2017 CSpace - Powered by CSpace