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A survey of network anomaly visualization

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Abstract

Network anomaly analysis is an emerging subtopic of network security. Network anomaly refers to the unusual behavior of network devices or suspicious network status. A number of intelligent visual tools are developed to enhance the ability of network security analysts in understanding the original data, ultimately solving network security problems. This paper surveys current progress and trends in network anomaly visualization. By providing an overview of network anomaly data, visualization tasks, and applications, we further elaborate on existing methods to depict various data features of network alerts, anomalous traffic, and attack patterns data. Directions for future studies are outlined at the end of this paper.

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Acknowledgements

This work was supported by National Basic Research Program of China (973 Program) (Grant No. 2015CB352503), Major Program of National Natural Science Foundation of China (Grant No. 61232012), National Natural Science Foundation of China (Grant Nos. 61422211, u1536118, u1536119), Zhejiang Provincial Natural Science Foundation of China (Grant No. LR13F020001), and Fundamental Research Funds for the Central Universities.

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  1. State Key Laboratory of CAD & CG, Zhejiang University, Hangzhou, 310058, China

    Tianye Zhang, Xumeng Wang, Zongzhuang Li, Fangzhou Guo, Yuxin Ma & Wei Chen

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  1. Tianye Zhang
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Zhang, T., Wang, X., Li, Z. et al. A survey of network anomaly visualization. Sci. China Inf. Sci. 60, 121101 (2017). https://doi.org/10.1007/s11432-016-0428-2

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