# IDS-UNSW-NB15

**Repository Path**: xiaxiaxia110/IDS-UNSW-NB15

## Basic Information

- **Project Name**: IDS-UNSW-NB15
- **Description**: IoT intrusion Detection Model based on neural network and random forests
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 2
- **Created**: 2021-12-17
- **Last Updated**: 2021-12-17

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README


# IoT Network Intrusion Detection Model
Original work at https://github.com/Moskari/ITKST42-network-data-classifier
just reorganized the code for jupyter.

* This file contain a lot of work to make intrusion detection model for Iot networks.
* We used nerual network along with random forest algorithm to accomplish this task.
* We used UNSW-NB 15 data set to train and test the model.
* f-1 recall and other metrics were used.
* Matplotlib, keras, Tensorflow and HDF5 were used.