Details

Title

Anonymous traffic classification based on three-dimensional Markov image and deep learning

Journal title

Bulletin of the Polish Academy of Sciences Technical Sciences

Yearbook

2023

Volume

71

Issue

4

Authors

Affiliation

Tang, Xin : School of Physics and Electronic Engineering, Sichuan Normal University, Chengdu 610101, Sichuan, China ; Tang, Xin : Institute of Network and Communication Technology, Sichuan Normal University, Chengdu 610101, Sichuan, China ; Li, Huanzhou : School of Physics and Electronic Engineering, Sichuan Normal University, Chengdu 610101, Sichuan, China ; Li, Huanzhou : Institute of Network and Communication Technology, Sichuan Normal University, Chengdu 610101, Sichuan, China ; Zhang, Jian : School of Physics and Electronic Engineering, Sichuan Normal University, Chengdu 610101, Sichuan, China ; Zhang, Jian : Institute of Network and Communication Technology, Sichuan Normal University, Chengdu 610101, Sichuan, China ; Tang, Zhangguo : School of Physics and Electronic Engineering, Sichuan Normal University, Chengdu 610101, Sichuan, China ; Tang, Zhangguo : Institute of Network and Communication Technology, Sichuan Normal University, Chengdu 610101, Sichuan, China ; Wang, Han : School of Physics and Electronic Engineering, Sichuan Normal University, Chengdu 610101, Sichuan, China ; Wang, Han : Institute of Network and Communication Technology, Sichuan Normal University, Chengdu 610101, Sichuan, China ; Cai, Cheng : School of Physics and Electronic Engineering, Sichuan Normal University, Chengdu 610101, Sichuan, China ; Cai, Cheng : Institute of Network and Communication Technology, Sichuan Normal University, Chengdu 610101, Sichuan, China

Keywords

anonymous network ; traffic classification ; three-dimensional Markov image ; output self-attention ; deep learning

Divisions of PAS

Nauki Techniczne

Coverage

e145676

Date

23.05.2023

Type

Article

Identifier

DOI: 10.24425/bpasts.2023.145676
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