# Network-Traffic-Classification

**Repository Path**: yeon/Network-Traffic-Classification

## Basic Information

- **Project Name**: Network-Traffic-Classification
- **Description**: No description available
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2020-09-20
- **Last Updated**: 2020-12-19

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# Network-Traffic-Classification

This is a researh project for classifying network traffic. We collected more than 100000 flows from the network. After that we used nDPI to analze the flows. We got more than 100 types of application. Then we put those application into 7 classes. After that we tried different ML algorithms to classify them.

Our current results-

Decesion tree 98% accurecy 

Randomforest 97% accuracy

KNN 91% accuracy

DNN 95% accuracy