An Encrypted Traffic Identification Method Based on RepVGG-Reference-Cited by-同舟云学术

An Encrypted Traffic Identification Method Based on RepVGG

Published:2022-11-17 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2022 11th International Conference on Computing and Pattern Recognition
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Author:

Wang Kemeng¹^ORCID,Zhou Quan²^ORCID,Zeng Zhikang²^ORCID,Chen Menglong¹^ORCID

Affiliation:

1. School of Computer Science and Cyber Engineering, Guangzhou University, China

2. School of Mathematics and Information Science, Guangzhou University, China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3581807.3581896

Reference30 articles.

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5. Szegedy , C. , Wei , L. , Jia , Y. , Sermanet , P. , and Rabinovich , A . . ( 2015 ). Going deeper with convolutions . 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). IEEE,1-9.https://doi.org/10 .1109/cvpr.2015.7298594. 10.1109/cvpr.2015.7298594 Szegedy, C. , Wei, L. , Jia, Y. , Sermanet, P. , and Rabinovich, A. . (2015). Going deeper with convolutions. 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). IEEE,1-9.https://doi.org/10.1109/cvpr.2015.7298594.