• Journal of Terahertz Science and Electronic Information Technology
  • Vol. 19, Issue 4, 712 (2021)
PENG Boyi*, ZHANG Zhao, and JIANG Hongyu
Author Affiliations
  • [in Chinese]
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    DOI: 10.11805/tkyda2019556 Cite this Article
    PENG Boyi, ZHANG Zhao, JIANG Hongyu. A clustering method for binary protocol based on improved auto-encoder[J]. Journal of Terahertz Science and Electronic Information Technology , 2021, 19(4): 712 Copy Citation Text show less
    References

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    [6] YAN X,LI Q,TAO S. A clustering algorithm for binary protocol data frames based on principal component analysis and density peaks clustering[C]// 2017 IEEE 17th International Conference on Communication Technology(ICCT). Chengdu, China:IEEE, 2017:1260-1266.

    [8] VINCENT P,LAROCHELLE H,LAJOIE I,et al. Stacked denoising autoencoders: learning useful representations in a deep network with a local denoising criterion[J]. Journal of Machine Learning Research, 2010,11:3371–3408.

    [9] BEDDOE Marshall. The protocol informatics project[R/OL]. Baseline Research, 2004. http://www.baselineresearch.net/PI.

    [10] CUI W,KANNAN J,WANG H J. Discoverer: automatic protocol reverse engineering from network traces[C]// Proceedings of the 16th USENIX Security Symposium. Boston,MA,USA:[s.n.], 2007.

    PENG Boyi, ZHANG Zhao, JIANG Hongyu. A clustering method for binary protocol based on improved auto-encoder[J]. Journal of Terahertz Science and Electronic Information Technology , 2021, 19(4): 712
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