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用于网络流量异常检测的数据采集方法的研究
引用本文:陈明兵,刘知贵.用于网络流量异常检测的数据采集方法的研究[J].数字社区&智能家居,2009,5(2):822-824.
作者姓名:陈明兵  刘知贵
作者单位:西南科技大学计算机科学与技术学院,四川绵阳621010
摘    要:网络带给人们自由开放的同时,也带来不可忽视的安全风险,网络安全越来越成为人们关注的重点。作为网络安全研究领域中重要组成部分的网络流量异常检测技术研究也逐渐得到重视。在网络流量异常检测技术的研究中首先要进行网络流量的采集,然后对所采集的流量进行分析。网络流量的采集主要有两种比较流行的方法:一是基于包的采集方法,另一种是基于流的采集方法。在此主要将这两种数据采集方法进行对比研究,并得出了实验的结果。

关 键 词:网络流量异常检测  基于包的数据采集方法  基于流的数据采集方法  网络安全  对比研究

Comparative Studies on two Methods of Data Collection Technology in Network Traffic Anomaly Detection
CHEN Ming-bing,LIU Zhi-gui.Comparative Studies on two Methods of Data Collection Technology in Network Traffic Anomaly Detection[J].Digital Community & Smart Home,2009,5(2):822-824.
Authors:CHEN Ming-bing  LIU Zhi-gui
Affiliation:(College of Computer Science and Technology, South West University of the Science and Technology, Mianyang 621010, China)
Abstract:Internet is free and open to people, and at the same time security risks can not be ignored. Network and information security has increasingly become the focus of our attention. As the important part of network security, network traffic anomaly detection technology gradually has been studied more and more. This paper mainly focus on two comparative studies on two methods of network traffic collection (one is packet-based data collection method, another is flow-based data collection method), and gives the simulation results.
Keywords:network anomaly detection  packet-based data collection method  flow-based data collection method  network security  comparative studies
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