L2-BiTCN-CNN: Spatio-temporal features fusion-based multi-classification model for various internet applications identification-Reference-Cited by-同舟云学术

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L2-BiTCN-CNN: Spatio-temporal features fusion-based multi-classification model for various internet applications identification

Published:2024-04 Issue: Volume:243 Page:110298
ISSN:1389-1286
Container-title:Computer Networks
language:en
Short-container-title:Computer Networks

Author:

Li Zhiyuan^ORCID,Xu Xiaoping

Funder

Natural Science Foundation of Jiangsu Province

National Key Research and Development Program of China

Publisher

Elsevier BV

Reference29 articles.

1. U. Cisco, Cisco annual internet report (2018–2023) white paper, https://www.cisco.com/c/en/us/solutions/collateral/executive-perspectives/annual-internet-report/white-paper-c11-741490.html.

2. Omdia, Omdia Network Traffic Forecast: 2019–24, https://omdia.tech.infor-ma.com/OM011420/Radio-Access-Network-Forecast-201924.

3. NetMarketShare, Market share for model, browsers, operating systems and search engines, https://gs.statcounter.com/search-engine-market-share.

4. Application identification via network traffic classification;Yamansavascilar,2017

5. Machine learning-powered encrypted network traffic analysis: a comprehensive survey;Shen;IEEE Commun. Surv. Tutor.,2023

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