FlowPic: A Generic Representation for Encrypted Traffic Classification and Applications Identification-Reference-Cited by-同舟云学术

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FlowPic: A Generic Representation for Encrypted Traffic Classification and Applications Identification

Published:2021-06 Issue:2 Volume:18 Page:1218-1232
ISSN:1932-4537
Container-title:IEEE Transactions on Network and Service Management
language:
Short-container-title:IEEE Trans. Netw. Serv. Manage.

Author:

Shapira Tal^ORCID,Shavitt Yuval^ORCID

Funder

cyber research from the Israeli PMO and the Blavatnik Interdisciplinary Cyber Research Center at Tel Aviv University

Science Research Center at Tel-Aviv University

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Networks and Communications

Link

http://xplorestaging.ieee.org/ielx7/4275028/9450206/09395707.pdf?arnumber=9395707

Cited by 88 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. SFML: A personalized, efficient, and privacy-preserving collaborative traffic classification architecture based on split learning and mutual learning;Future Generation Computer Systems;2025-01

2. 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

3. The art of time-bending: Data augmentation and early prediction for efficient traffic classification;Expert Systems with Applications;2024-10

4. A balanced supervised contrastive learning-based method for encrypted network traffic classification;Computers & Security;2024-10

5. Online network traffic classification based on external attention and convolution by IP packet header;Computer Networks;2024-10

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