ggulgun / NIDS-Intrusion-Detection
Simple Implementation of Network Intrusion Detection System. KddCup'99 Data set is used for this project. kdd_cup_10_percent is used for training test. correct set is used for test. PCA is used for dimension reduction. SVM and KNN supervised algorithms are the classification algorithms of project. Accuracy : %83.5 For SVM , %80 For KNN
☆87Updated 5 years ago
Alternatives and similar repositories for NIDS-Intrusion-Detection:
Users that are interested in NIDS-Intrusion-Detection are comparing it to the libraries listed below
- Intrusion Detection System using Machine Learning and Deep Learning☆85Updated last year
- Network data classifier based on the recurrent neural network.☆22Updated 5 years ago
- IoT intrusion Detection Model based on neural network and random forests☆44Updated 6 years ago
- I have tried some of the machine learning and deep learning algorithm for IDS 2017 dataset. The link for the dataset is here: http://www.…☆40Updated 6 years ago
- A deep learning based intrusion detection system using CSE-CIC-IDS2018 dataset.☆12Updated 4 years ago
- Due to the increasingly development of network technology recently, there are various cyber-attacks posed the huge threats to different …☆30Updated 6 years ago
- Network intrusions classification using algorithms such as Support Vector Machine (SVM), Decision Tree, Naive Baye, K-Nearest Neighbor (K…☆102Updated 7 years ago
- A Recurrent Neural Networks implementation using Keras for network intrusion detection☆31Updated 3 years ago
- Deep learning models for network intrusion detection☆35Updated 2 years ago
- Network Intrusion Detection System using Deep Learning Techniques☆154Updated 5 years ago
- Network intrusion detection with Machine Learning (Deep Learning) experiment : 1d-cnn, softmax, neural networks, convolution☆45Updated 9 months ago
- This is the repo of the research paper, "Evaluating Shallow and Deep Neural Networks for Network Intrusion Detection Systems in Cyber Sec…☆279Updated last year
- manojkumar-github / Intrusion-Detection-System-for-IoT-networks-using-Gated-Recurrent-Neural-Networks-GRUAn Intelligent Intrusion Detection System for IoT networks using Gated Recurrent Neural Networks (GRU) : A Deep Learning Approach☆33Updated 6 years ago
- Machine Learning with the NSL-KDD dataset for Network Intrusion Detection☆256Updated 4 years ago
- Unofficial repo of the research paper ”An Intrusion Detection System Using a Deep Neural Network with Gated Recurrent Units“. Developed u…☆33Updated 5 years ago
- This repository contains a notebook implementing an autoencoder based approach for intrusion detection, the full documentation of the stu…☆33Updated 6 years ago
- Network Intrusion Detection based on various machine learning and deep learning algorithms using UNSW-NB15 Dataset☆162Updated 3 years ago
- Two staged IDS specific to IoT networks where Signature based IDS and Anomaly based IDS which is trained and classified using machine lea…☆42Updated 5 years ago
- Deep learning based Intrusion Detection System☆31Updated 4 years ago
- Intrusion Detection Based on Convolutional Neural Network with kdd99 data set☆53Updated 5 years ago
- CICIDS2017 dataset☆66Updated 3 years ago
- Deep Learning based Intrusion Detection on NSL-KDD Dataset☆13Updated 5 years ago
- VGG-19 deep learning model trained using ISCX 2012 IDS Dataset☆140Updated 6 years ago
- Machine Learning Algorithms on NSL-KDD dataset☆96Updated 5 years ago
- Intrusion Detection using various Data Mining Techniques (KDD Cup 1999 Data)☆19Updated 5 years ago
- A network data classifier for UNSW-NB15 data set. This is an university course work for "ITKST42 Information Security Technology".☆37Updated 7 years ago
- Based on the CICIDS2017 dataset and Pytorch platform☆28Updated 5 years ago
- This is a simple DNN based application for an IDS based on the CICIDS2017 dataset☆31Updated 4 years ago
- Building an Intrusion Detection System on UNSW-NB15 Dataset Based on Machine Learning Algorithm☆77Updated 4 years ago
- The purpose of this repository is to demonstrate the steps of processing CICIDS2017 dataset using machine learning algorithms.☆61Updated 4 years ago