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
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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 |
公开日期 | [db:dc_date_available] |
内容类型 | 期刊论文 |
URI标识 | http://www.corc.org.cn/handle/1471x/6093705 |
专题 | 湖南大学 |
作者单位 | 1.Central South University, Hunan University of Finance and Economics, China 2.Arizona State University, United States |
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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