vvsotnikov / LSTM-IDSLinks
Network data classifier based on the recurrent neural network.
☆21Updated 6 years ago
Alternatives and similar repositories for LSTM-IDS
Users that are interested in LSTM-IDS are comparing it to the libraries listed below
Sorting:
- IoT intrusion Detection Model based on neural network and random forests☆45Updated 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 Recurrent Neural Networks implementation using Keras for network intrusion detection☆30Updated 3 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 …☆89Updated 5 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 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
- Network intrusion detection with Machine Learning (Deep Learning) experiment : 1d-cnn, softmax, neural networks, convolution☆46Updated 11 months ago
- Deep Learning Tool for Off-line Network Intrusion Detection System☆22Updated 6 years ago
- Intrusion Detection System using Machine Learning and Deep Learning☆87Updated last year
- Two staged IDS specific to IoT networks where Signature based IDS and Anomaly based IDS which is trained and classified using machine lea…☆43Updated 5 years ago
- Feature coded UNSW_NB15 intrusion detection data.☆87Updated 7 years ago
- Intrusion Detection Based on Convolutional Neural Network with kdd99 data set☆54Updated 6 years ago
- Deep learning based Intrusion Detection System☆31Updated 5 years ago
- Based on the CICIDS2017 dataset and Pytorch platform☆28Updated 6 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
- Here, we use RNN to deal with the network intrusion problem. The UNSW-NB15 dataset is used.☆69Updated 4 years ago
- VGG-19 deep learning model trained using ISCX 2012 IDS Dataset☆140Updated 6 years ago
- Building an Intrusion Detection System on UNSW-NB15 Dataset Based on Machine Learning Algorithm☆85Updated 4 years ago
- A deep learning based intrusion detection system using CSE-CIC-IDS2018 dataset.☆12Updated 5 years ago
- Deep learning models for network intrusion detection☆36Updated 2 years ago
- Autoencoder based intrusion detection system trained and tested with the CICIDS2017 data set.☆33Updated 4 years ago
- Tensorflow Implementation of paper Applying long short-term memory recurrent neural networks to intrusion detection with KDDCup99 Data☆15Updated 6 years ago
- PySpark solution to the NSL-KDD dataset: https://www.unb.ca/cic/datasets/nsl.html☆125Updated 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
- CICIDS2017 dataset☆69Updated 3 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 Intrusion Detection System using Deep Learning Techniques☆156Updated 5 years ago
- Distributed intelligent malicious traffic detection system based on GAN☆18Updated 5 years ago
- Intrusion Detection using various Data Mining Techniques (KDD Cup 1999 Data)☆19Updated 5 years ago
- Using PyTorch to train kddcup99 dataset with convolutional neural networks.☆54Updated 6 years ago