Investigating Network Traffic Through Compressed Graph Visualization

被引：0
|
作者：
Shi, Lei [1 ]
Liao, Qi [1 ]
Yang, Chunxin [1 ]
机构：
[1] Chinese Acad Sci, State Key Lab Comp Sci, Inst Software, Beijing 100864, Peoples R China
来源：
2012 IEEE CONFERENCE ON VISUAL ANALYTICS SCIENCE AND TECHNOLOGY (VAST) | 2012年
关键词：
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Compressed Graph Visualization is a visual analytics method to scale the traditional node-link representation to huge graphs. This paper introduces its visualization, data processing and visual analytics process in solving Mini-Challenge 2 of VAST 2012 contest.
引用
收藏
页码：279 / 280
页数：2
相关论文
共 50 条
  • [21] Investigating concurrency in online auctions through visualization
    Hyde, Valerie
    Jank, Wolfgang
    Shmueli, Galit
    [J]. AMERICAN STATISTICIAN, 2006, 60 (03): : 241 - 250
  • [22] A Survey of Network Traffic Visualization in Detecting Network Security Threats
    Liu, Xiaomei
    Sun, Yong
    Fang, Liang
    Liu, Junpeng
    Yu, Lingjing
    [J]. TRUSTWORTHY COMPUTING AND SERVICES (ISCTCS 2014), 2015, 520 : 91 - 98
  • [23] Investigating Application Behavior in Network Traffic Traces
    Foroushani, Vahid Aghaei
    Zincir-Heywood, A. Nur
    [J]. 2013 IEEE SYMPOSIUM ON COMPUTATIONAL INTELLIGENCE FOR SECURITY AND DEFENSE APPLICATIONS (CISDA), 2013, : 72 - 79
  • [24] Using Graph to Detect Network Traffic Anomaly
    Zhou, Yingjie
    Hu, Guangmin
    He, Weisong
    [J]. 2009 INTERNATIONAL CONFERENCE ON COMMUNICATIONS, CIRCUITS AND SYSTEMS PROCEEDINGS, VOLUMES I & II: COMMUNICATIONS, NETWORKS AND SIGNAL PROCESSING, VOL I/ELECTRONIC DEVICES, CIRUITS AND SYSTEMS, VOL II, 2009, : 341 - 345
  • [25] Graph neural network for traffic forecasting: A survey
    Jiang, Weiwei
    Luo, Jiayun
    [J]. EXPERT SYSTEMS WITH APPLICATIONS, 2022, 207
  • [26] Graph neural network for traffic forecasting: A survey
    Jiang, Weiwei
    Luo, Jiayun
    [J]. Expert Systems with Applications, 2022, 207
  • [27] A trend graph attention network for traffic prediction
    Wang, Chu
    Tian, Ran
    Hu, Jia
    Ma, Zhongyu
    [J]. INFORMATION SCIENCES, 2023, 623 : 275 - 292
  • [28] Traffic Forecasting using Graph Convolution Network
    Patre, Shubham S.
    Kumar, Ritesh
    Singh, Sunakshi
    Chaurasiya, Vijay Kumar
    [J]. 2021 IEEE INTERNATIONAL CONFERENCE ON MOBILE NETWORKS AND WIRELESS COMMUNICATIONS (ICMNWC), 2021,
  • [29] Robust network traffic identification with graph matching
    Li, Wenhao
    Zhang, Xiao-Yu
    Bao, Huaifeng
    Wang, Qiang
    Li, Zhaoxuan
    [J]. COMPUTER NETWORKS, 2022, 218
  • [30] Traffic Prediction With a Spectral Graph Neural Network
    Buapang, Sathita
    Muangsin, Veera
    [J]. 2022 7TH INTERNATIONAL CONFERENCE ON BUSINESS AND INDUSTRIAL RESEARCH (ICBIR2022), 2022, : 341 - 346
12345