Intrusion_detection_system

implement IDS using deep learning

deep_IDS

Implement A Deep Learning Approach for Network Intrusion Detection System paper

Requirements

numpy

sklearn

pandas

tensorflow-1.13.1

Dataset

Download the zipfile from this url https://www.unb.ca/cic/datasets/nsl.html

unzip the file into Intrusion_detection_system/deep_IDS/dataset/train_data

edit the file KDDTrain+_20Percent.arff (remove @attributes lines (33 lines))

rename KDDTrain+_20Percent.arf into KDDTrain_binary.txt

mv KDDTrain+_20Percent.arff KDDTrain_binary.txt

How to run

python main.py

if you want to specify the path of dataset

python main.py --data_path="the/path/to/dataset

How to run with docker

docker run -it --runtime=nvidia -v $PWD:/app tensorflow/tensorflow:1.13.1-py3

cd /app

python main.py

references

A Deep Learning Approach for Network Intrusion Detection System

http://www.covert.io/research-papers/deep-learning-security/A%20Deep%20Learning%20Approach%20for%20Network%20Intrusion%20Detection%20System.pdf