基于网络处理器的入侵检测系统

Li Yun, Xuejun Wang, Yongchang Yang
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引用次数: 0

摘要

在分析网络流量特点的基础上,提出了一种网站网络安全的方法。利用cookie对用户进行有效分离,利用隐半马尔可夫模型分析用户活动,计算正常度,为正常用户分配带宽。从而防御DDoS攻击,控制异常的网络流量。
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An Intrusion Detection System Based on Network Processor
In the analysis of the characteristics of network traffic we proposed a method for web site network security. We separate efficiently users by cookie, analyse user's activity by Hidden Semi-Markov Model, caculate the normal degree and allocate the bandwidth for the normal users. So we can defense DDoS attacks and control abnormal network traffic flow.
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