###
计算机系统应用英文版:2017,26(6):36-39
←前一篇   |   后一篇→
本文二维码信息
码上扫一扫!
基于熵的网络异常流量检测研究综述
(成都信息工程大学 信息安全工程学院, 成都 610000)
Survey of Entropy-Based Network Traffic Anomaly Detection Methods
(College of Information Security, Chengdu University of Information Technology, Chengdu 610000, China)
摘要
图/表
参考文献
相似文献
本文已被:浏览 2707次   下载 11669
Received:September 23, 2016    Revised:November 21, 2016
中文摘要: 网络流量异常检测及分析作为一种重要的网络监管控制手段,是网络及安全管理领域的重要研究内容.本文探讨了网络异常流量的种类,简述了基于传统的异常检测方法在网络异常流量检测中的应用以及存在的问题.针对基于信息熵、相对熵、活跃熵等熵值理论在网络异常流量检测中的研究,阐述了基于熵值理论的异常检测在国内外的研究进展情况.总结了当前基于熵值理论的异常检测研究工作中存在的问题及改进方向.
Abstract:It is an essential means to detect and analysize the abnormal network traffic in network supervision. And it is also an important research topic in the field of network security management. At the beginning of this paper, we discuss some types of abnormal network traffic, and point out some problems while using traditional anomaly detection methods in network traffic anomaly detection. And then, we specify the latest research achievements of anomaly detection method based on entropy theory which apply information entropy, relative entropy, and active entropy theory to detect abnormal network traffic. Finally, we conclude some problems of anomaly detection methods based on entropy theory and the direction of improvement.
文章编号:     中图分类号:    文献标志码:
基金项目:
引用文本:
李蕊,张路桥,李海峰,刘恺.基于熵的网络异常流量检测研究综述.计算机系统应用,2017,26(6):36-39
LI Rui,ZHANG Lu-Qiao,LI Hai-Feng,LIU Kai.Survey of Entropy-Based Network Traffic Anomaly Detection Methods.COMPUTER SYSTEMS APPLICATIONS,2017,26(6):36-39