Let model keep evolving: Incremental learning for encrypted traffic classification-Reference-Cited by-同舟云学术

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Let model keep evolving: Incremental learning for encrypted traffic classification

Published:2024-02 Issue: Volume:137 Page:103624
ISSN:0167-4048
Container-title:Computers & Security
language:en
Short-container-title:Computers & Security

Author:

Li Xiang^ORCID,Xie Jiang,Song Qige^ORCID,Sang Yafei,Zhang Yongzheng,Li Shuhao,Zang Tianning

Funder

National Natural Science Foundation of China

National Key Research and Development Program of China

Publisher

Elsevier BV

Subject

Law,General Computer Science

Reference75 articles.

1. Mirage: mobile-app traffic capture and ground-truth creation;Aceto,2019

2. Traffic classification of mobile apps through multi-classification;Aceto,2017

3. Mimetic: mobile encrypted traffic classification using multimodal deep learning;Aceto;Comput. Netw.,2019

4. Towards open world recognition;Bendale,2015

5. Towards open set deep networks;Bendale,2016

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Continuous Select-and-Prune Incremental Learning for Encrypted Traffic Classification in Distributed SDN Networks;2024 IEEE 49th Conference on Local Computer Networks (LCN);2024-10-08

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