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A benchmark for visual analysis of insider threat detection

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References

  1. Glasser J, Lindauer B. Bridging the gap: a pragmatic approach to generating insider threat data. In: Proceedings of IEEE Security and Privacy Workshops, 2013. 98–104

  2. Grinstein G, Scholtz J, Whiting M, et al. VAST 2009 challenge: an insider threat. In: Proceedings of IEEE Symposium on Visual Analytics Science and Technology (VAST), 2009. 243–244

  3. Salem M B, Stolfo S J. Modeling user search behavior for masquerade detection. In: Proceedings of International Workshop on Recent Advances in Intrusion Detection, Berlin, 2011. 181–200

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Acknowledgements

This work was supported in part by National Key Research and Development Program of China (Grant No. 2018YFB1700403), National Natural Science Foundation of China (Grant Nos. 61872388, 62072470), and Natural Science Foundation of Hunan Province (Grant No. 2020JJ4758). ITD-2018 project at Github: https://github.com/csuvis/InsiderThreatData. Thanks all the organizers, reviewers, and participants of ChinaVis Data Challenge 2018.

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Authors and Affiliations

  1. School of Computer Science and Engineering, Central South University, Changsha, 410075, China

    Ying Zhao & Kui Yang

  2. School of Data Science, Fudan University, Shanghai, 200433, China

    Siming Chen

  3. Qi An Xin Group, Beijing, 100015, China

    Zhuo Zhang, Xin Huang, Qiusheng Li, Qi Ma & Xinyue Luan

  4. School of Information Technology and Management, Hunan University of Finance and Economics, Changsha, 410205, China

    Xiaoping Fan

Authors
  1. Ying Zhao
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  2. Kui Yang
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  3. Siming Chen
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  4. Zhuo Zhang
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  5. Xin Huang
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  6. Qiusheng Li
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  7. Qi Ma
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  8. Xinyue Luan
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  9. Xiaoping Fan
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Corresponding author

Correspondence to Siming Chen.

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Zhao, Y., Yang, K., Chen, S. et al. A benchmark for visual analysis of insider threat detection. Sci. China Inf. Sci. 65, 199102 (2022). https://doi.org/10.1007/s11432-019-2776-4

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  • DOI: https://doi.org/10.1007/s11432-019-2776-4

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