Deepthi10 / Intrusion-Detection-using-Machine-Learning-on-NSL--KDD-datasetLinks
Pre-processing NSL-KDD dataset using Data mining techniques. Algorithm written in python to detect the attacks in NSL KDD dataset.
☆27Updated 5 years ago
Alternatives and similar repositories for Intrusion-Detection-using-Machine-Learning-on-NSL--KDD-dataset
Users that are interested in Intrusion-Detection-using-Machine-Learning-on-NSL--KDD-dataset are comparing it to the libraries listed below
Sorting:
- Network Intrusion Detection based on various machine learning and deep learning algorithms using UNSW-NB15 Dataset☆177Updated 4 years ago
- A Novel Statistical Analysis and Autoencoder Driven Intelligent Intrusion Detection Approach☆141Updated 3 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
- Machine Learning Algorithms on NSL-KDD dataset☆100Updated 6 years ago
- Building an Intrusion Detection System on UNSW-NB15 Dataset Based on Machine Learning Algorithm☆88Updated 5 years ago
- This repository contains a notebook implementing an autoencoder based approach for intrusion detection, the full documentation of the stu…☆32Updated 6 years ago
- Our implementations of the flow-based network intrusion detection model (for the COMNET paper)☆47Updated 5 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…☆45Updated 6 years ago
- Anomaly based Instrusion Detection System using RNN-LSTMs. Datasets include NSL-KDD and UNSW-NB15.☆35Updated 5 years ago
- CICIDS2017 dataset☆70Updated 3 years ago
- Intrusion Detection System using Machine Learning and Deep Learning☆89Updated last year
- This is the repo of the research paper, "Evaluating Shallow and Deep Neural Networks for Network Intrusion Detection Systems in Cyber Sec…☆286Updated last year
- Network intrusion detection with Machine Learning (Deep Learning) experiment : 1d-cnn, softmax, neural networks, convolution☆49Updated last year
- The purpose of this repository is to demonstrate the steps of processing CICIDS2017 dataset using machine learning algorithms.☆63Updated 5 years ago
- Baseline experiments on training a Decision Tree Classifier and a Random Forest Classifier using Grid Search with Cross Validation on the…☆45Updated 3 years ago
- Machine Learning with the NSL-KDD dataset for Network Intrusion Detection☆266Updated 5 years ago
- An Intrusion Detection System based on Deep Belief Networks☆86Updated 2 years ago
- Network Intrusion Detection System using Deep Learning Techniques☆162Updated 5 years ago
- Intrusion Detection Based on Convolutional Neural Network with kdd99 data set☆56Updated 6 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
- IoT networks have become an increasingly valuable target of malicious attacks due to the increased amount of valuable user data they cont…☆27Updated 3 years ago
- A thesis submitted for the degree of Master of Science in Computer Networks and Security☆228Updated 2 years ago
- Pytorch implementation of LuNet: A Deep Neural Network for Network Intrusion Detection☆52Updated 5 years ago
- Implementation of Robust Transformer Based Intrusion Detection, based on the Paper by Wu et. Al☆22Updated last year
- A Recurrent Neural Networks implementation using Keras for network intrusion detection☆31Updated 4 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.…☆42Updated 6 years ago
- 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 7 years ago
- Network Intrusion Detection System on CSE-CIC-IDS2018 using ML classifiers and DNN ( ANN , CNN , RNN ) | Hyper-parameter Optimization { l…☆22Updated 3 years ago
- Code for the paper "Anomaly-Based Intrusion Detection in IIoT Networks Using Transformer Models"☆33Updated 2 years ago
- Generative adversarial networks for Network Intrusion Benchmark datasets☆38Updated last year