Identifying VoIP traffic in VPN tunnel via Flow Spatio-Temporal Features-Reference-Cited by-同舟云学术

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Identifying VoIP traffic in VPN tunnel via Flow Spatio-Temporal Features

Published:2020 Issue:5 Volume:17 Page:4747-4772
ISSN:1551-0018
Container-title:Mathematical Biosciences and Engineering
language:en
Short-container-title:

Author:

Ul Islam Faiz, ,Liu Guangjie,Liu Weiwei,

Publisher

American Institute of Mathematical Sciences (AIMS)

Subject

Applied Mathematics,Computational Mathematics,General Agricultural and Biological Sciences,Modeling and Simulation,General Medicine

Link

http://www.aimspress.com/article/10.3934/mbe.2020260/pdf

Reference8 articles.

1. P. Burnap, M. L. Williams, Cyber hate speech on

2. A. Finamore, M. Mellia, M. Meo, D. Rossi,

3. V. Paxson, S. Floyd, Wide area

4. D. Arndt, How to: Calculating flow statistics using netmate, 2011. Available

5. D. Bonfiglio, M. Mellia, M. Meo, D. Rossi, P. Tofanelli, Revealing skype traffic: When randomness plays with you, SIGCOMM

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1. Method and Algorithm for Determining the Type of Traffic in an Encrypted Communication Channel;Proceedings of Telecommunication Universities;2023-01-10

2. Dark-Forest: Analysis on the Behavior of Dark Web Traffic via DeepForest and PSO Algorithm;Computer Modeling in Engineering & Sciences;2023

3. Comparative Analysis of VPN Protocols at Layer 2 Focusing on Voice Over Internet Protocol;IEEE Access;2023

4. A deep learning‐based framework to identify and characterise heterogeneous secure network traffic;IET Information Security;2022-10-03

5. Research on the identification of network traffic anomalies in the access layer of power IoT based on extreme learning machine;2022 International Conference on Artificial Intelligence, Information Processing and Cloud Computing (AIIPCC);2022-08

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