Skip to content
/ A-Deep-Learning-Model-for-Accurate-and-Robust-Internet-Traffic-Classification Public

In this paper, we proposed a deep learning model which achieves progress compared to LeNet-5 in the stability of Internet traffic classification.

3 stars 0 forks Branches Tags Activity
Star
Notifications You must be signed in to change notification settings

ProjectNeura/A-Deep-Learning-Model-for-Accurate-and-Robust-Internet-Traffic-Classification

BranchesTags

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

4 Commits
data/pcap
data/pcap
 
 
datasets
datasets
 
 
models
models
 
 
results
results
 
 
.gitignore
.gitignore
 
 
README.md
README.md
 
 
eval.py
eval.py
 
 
main.py
main.py
 
 
modules.py
modules.py
 
 
requirements.txt
requirements.txt
 
 
test.cfg
test.cfg
 
 
train.cfg
train.cfg
 
 
train.py
train.py
 
 

Repository files navigation

A Deep Learning Model for Accurate and Robust Internet Traffic Classification

Powered by PaperCandy.

In this paper, we proposed a deep learning model which achieves progress compared to LeNet-5 in the stability of Internet traffic classification.

EWA Publishing

About

In this paper, we proposed a deep learning model which achieves progress compared to LeNet-5 in the stability of Internet traffic classification.

Topics

deep-learning paper pytorch network-analysis cnn-model cnn-classification traffic-classification

Resources

Readme
Activity
Custom properties

Stars

3 stars

Watchers

2 watching

Forks

0 forks
Report repository

Releases

No releases published

Packages

No packages published

Languages