Providing a detection method to judge whether there happens anomaly matters. This method judges it by calculating the similarity of mining normal and anomaly traffic among the rule sets.
分析了当前主要的数据挖掘方法,并将关联挖掘与序列模式挖掘方法应用到基于网络的异常检测中,提出了计算挖掘正常流量与异常流量得到的规则集之间的相似度来判断网络是否发生异常的检测方法,并通过实验证实了该方法的有效性。
参考来源 - 网络安全检测关键技术研究The study of focus is how to control the settlement of the normal use of the network traffic during the unusual problem, Namely: abnormal flow caused by the excessive use of P2P tools for campus network traffic.
重点研究的是,如何调控、解决在正常使用网络的过程中出现异常流量的问题,即:校园网上过度使用P2P工具造成的流量异常情况。
参考来源 - 基于MRTG的校园网流量监测与调控系统的研究与实现·2,447,543篇论文数据，部分数据来源于NoteExpress
本论文致力于实现针对网络异常流量监测控制的系统解决方案。
In this paper, committed to achieving an exception for network traffic monitoring and control system solutions.
网络流量能准确反映工业以太网的状况，同时异常流量也会对网络造成影响。
The network traffic characteristic shows the working status of the industrial Ethernet accurately, and abnormal traffic will also influence the network running performance largely.
当问题出现且网络上没有发现任何异常流量时，您可能需要将您的分析工具植入虚拟网络中。
When problems are occurring and you don't see any unusual traffic on the network, you may need to get your analysis tools plugged into the virtual network.
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