Tytuł artykułu

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

Tytuł czasopisma

Bulletin of the Polish Academy of Sciences Technical Sciences

Rocznik

2023

Wolumin

71

Numer

4

Autorzy

Tang, Xin ; Li, Huanzhou ; Zhang, Jian ; Tang, Zhangguo ; Wang, Han ; Cai, Cheng

Afiliacje

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

Słowa kluczowe

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

Wydział PAN

Nauki Techniczne

Zakres

e145676

Data

23.05.2023

Typ

Article

Identyfikator

DOI: 10.24425/bpasts.2023.145676 ; e-ISSN 2300-1917