Network traffic classification: Techniques, datasets, and challenges-Reference-Cited by-同舟云学术

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Network traffic classification: Techniques, datasets, and challenges

Published:2022-09 Issue: Volume: Page:
ISSN:2352-8648
Container-title:Digital Communications and Networks
language:en
Short-container-title:Digital Communications and Networks

Author:

Azab Ahmad,Khasawneh Mahmoud^ORCID,Alrabaee Saed^ORCID,Raymond Choo Kim-Kwang^ORCID,Sarsour Maysa

Publisher

Elsevier BV

Subject

Computer Networks and Communications,Hardware and Architecture

Reference123 articles.

1. Discovering public wi-fi vulnerabilities using raspberry pi and kali linux;Al Neyadi,2020

2. Skypemorph: Protocol Obfuscation for Censorship Resistance, Master's Thesis;Mohajeri Moghaddam,2013

3. Classification of Network Information Flow Analysis (CONIFA) to Detect New Application Versions;Azab,2015

4. The Role of National Cybersecurity Strategies on the Improvement of Cybersecurity Education;AlDaajeh,2022

5. Efforts and suggestions for improving cybersecurity education;Alrabaee,2022

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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. Proposal of Temporal Feature Layers for Network Traffic Dataset Generation Using C-GAN;IEICE Communications Express;2024-08

3. HClass: Fast hybrid network traffic classification with bit and keyword level signatures;Journal of High Speed Networks;2024-06-11

4. The Attention-Based Autoencoder for Network Traffic Classification with Interpretable Feature Representation;Symmetry;2024-05-10

5. RETRACTED: Sketching of interactive VoIP traffic with multivariate statistical learning-based classification;Journal of Intelligent & Fuzzy Systems;2024-04-18

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