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	ENTVis: A Visual Analytic Tool for Entropy-Based Network Traffic Anomaly Detection
	Zhou, Fangfang; Huang, Wei; Zhao, Ying; Shi, Yang; Liang, Xing; Fan, Xiaoping
刊名	IEEE Computer Graphics and Applications
	2015
卷号	Vol.35 No.6页码:42-50
关键词	Ports (Computers) Entropy IP networks Human computer interaction Visual analytics Data visualization Telecommunication traffic,anomaly detection computer graphics visual analytics cybersecurity entropy
ISSN号	0272-1716
URL标识	查看原文
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/2062936
专题	湖南财政经济学院
作者单位	1.Arizona State University 2.Central South University and Hunan University of Finance and Economics, China 3.Central South University, China
推荐引用方式 GB/T 7714	Zhou, Fangfang,Huang, Wei,Zhao, Ying,et al. ENTVis: A Visual Analytic Tool for Entropy-Based Network Traffic Anomaly Detection[J]. IEEE Computer Graphics and Applications,2015,Vol.35 No.6:42-50.
APA	Zhou, Fangfang,Huang, Wei,Zhao, Ying,Shi, Yang,Liang, Xing,&Fan, Xiaoping.(2015).ENTVis: A Visual Analytic Tool for Entropy-Based Network Traffic Anomaly Detection.IEEE Computer Graphics and Applications,Vol.35 No.6,42-50.
MLA	Zhou, Fangfang,et al."ENTVis: A Visual Analytic Tool for Entropy-Based Network Traffic Anomaly Detection".IEEE Computer Graphics and Applications Vol.35 No.6(2015):42-50.

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