lapeyrade / RNN_Intrusion-Detection_KerasLinks
A Recurrent Neural Networks implementation using Keras for network intrusion detection
☆31Updated 4 years ago
Alternatives and similar repositories for RNN_Intrusion-Detection_Keras
Users that are interested in RNN_Intrusion-Detection_Keras are comparing it to the libraries listed below
Sorting:
- 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 7 years ago
- Intrusion Detection System using Machine Learning and Deep Learning☆89Updated last year
- Intrusion Detection Based on Convolutional Neural Network with kdd99 data set☆56Updated 6 years ago
- IoT intrusion Detection Model based on neural network and random forests☆48Updated 6 years ago
- Using NSL_KDD data☆29Updated 6 years ago
- Deep learning models for network intrusion detection☆40Updated 2 years ago
- Here, we use RNN to deal with the network intrusion problem. The UNSW-NB15 dataset is used.☆74Updated 4 years ago
- Distributed intelligent malicious traffic detection system based on GAN☆18Updated 5 years ago
- Feature coded UNSW_NB15 intrusion detection data.☆89Updated 7 years ago
- Network Intrusion Detection based on various machine learning and deep learning algorithms using UNSW-NB15 Dataset☆177Updated 4 years ago
- Simple Implementation of Network Intrusion Detection System. KddCup'99 Data set is used for this project. kdd_cup_10_percent is used for …☆90Updated 5 years ago
- 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
- Machine Learning with the NSL-KDD dataset for Network Intrusion Detection☆267Updated 5 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 Intrusion Detection System using Deep Learning Techniques☆163Updated 5 years ago
- Tensorflow Implementation of paper Applying long short-term memory recurrent neural networks to intrusion detection with KDDCup99 Data☆15Updated 6 years ago
- A network data classifier for UNSW-NB15 data set. This is an university course work for "ITKST42 Information Security Technology".☆38Updated 8 years ago
- Machine Learning Algorithms on NSL-KDD dataset☆100Updated 6 years ago
- Pytorch implementation of LuNet: A Deep Neural Network for Network Intrusion Detection☆52Updated 5 years ago
- Basic Machine learning projects and assignments done by me.☆32Updated 5 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
- ☆24Updated 6 years ago
- Network intrusions classification using algorithms such as Support Vector Machine (SVM), Decision Tree, Naive Baye, K-Nearest Neighbor (K…☆102Updated 8 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
- 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
- Network data classifier based on the recurrent neural network.☆20Updated 6 years ago
- PySpark solution to the NSL-KDD dataset: https://www.unb.ca/cic/datasets/nsl.html☆127Updated 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