Attribute-Based Zero-Shot Learning for Encrypted Traffic Classification-Reference-Cited by-同舟云学术

Attribute-Based Zero-Shot Learning for Encrypted Traffic Classification

Published:2022-12 Issue:4 Volume:19 Page:4583-4599
ISSN:1932-4537
Container-title:IEEE Transactions on Network and Service Management
language:
Short-container-title:IEEE Trans. Netw. Serv. Manage.

Author:

Hu Ying¹^ORCID,Cheng Guang¹^ORCID,Chen Wenchao¹,Jiang Bomiao¹

Affiliation:

1. School of Cyber Science and Engineering and the International Governance Research Base of Cyberspace, Jiangsu Ubiquitous Cyber Security Engineering Research Center, Key Laboratory of Computer Network and Information Integration, Ministry of Education, Southeast University, Nanjing, China

Funder

General Program of the National Natural Science Foundation of China

Foundation of Key Laboratory of National Defense Science and Technology Project

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Networks and Communications

Link

http://xplorestaging.ieee.org/ielx7/4275028/10034788/09796642.pdf?arnumber=9796642

Reference38 articles.

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2. Improved training of Wasserstein GANs;gulrajani;Proc Annu Conf Neural Inf Process Syst,2017

3. End-to-end encrypted traffic classification with one-dimensional convolution neural networks

4. DeViSE: A deep visual-semantic embedding model;frome;Proc 27th Annu Conf Neural Inf Process Syst,2013

5. WENC: HTTPS Encrypted Traffic Classification Using Weighted Ensemble Learning and Markov Chain

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