gsndr / RENOIRLinks
☆11Updated 2 years ago
Alternatives and similar repositories for RENOIR
Users that are interested in RENOIR are comparing it to the libraries listed below
Sorting:
- Our implementations of the flow-based network intrusion detection model (for the COMNET paper)☆46Updated 5 years ago
- ☆20Updated 5 months ago
- A GAN-based model focused on anomaly detection in discrete dataset☆26Updated 5 years ago
- ☆10Updated 2 years ago
- Implementation of "ConFlow: Contrast Network Flow Improving Class-Imbalanced Learning in Network Intrusion Detection"☆13Updated 3 years ago
- A study on Deep Learning and Graph Neural Network for Intrusion Detection and Prevention (CNN, VAE, GNN,...)☆11Updated 2 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.…☆41Updated 6 years ago
- This project is an open-source project based on a GAN network anomaly detection.☆13Updated 10 months ago
- Code for the paper: "Supervised contrastive learning over prototype-label embeddings for network intrusion detection"☆14Updated 4 years ago
- ☆18Updated 4 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
- Pytorch implementation of LuNet: A Deep Neural Network for Network Intrusion Detection☆52Updated 5 years ago
- Intrusion Detection System using Deep Reinforcement Learning and Generative Adversarial Networks☆44Updated 9 months ago
- Network Security Analysis using Machine Learning on the NSL-KDD dataset from the KDD Cup 1999☆21Updated 5 years ago
- An intrusion detection system model developed using CNN and Bi-LSTM.☆13Updated 3 years ago
- Generative adversarial networks for Network Intrusion Benchmark datasets☆35Updated 10 months ago
- This repository contains a notebook implementing an autoencoder based approach for intrusion detection, the full documentation of the stu…☆32Updated 6 years ago
- Network intrusion detection with Machine Learning (Deep Learning) experiment : 1d-cnn, softmax, neural networks, convolution☆46Updated last year
- Source code for the paper: Adaptive Clustering-based Malicious Traffic Classification at the Network Edge (https://homepages.inf.ed.ac.uk…☆35Updated 4 years ago
- Cyber-attack classification in the network traffic database using NSL-KDD dataset☆26Updated 4 years ago
- Repository for IEEE CCNC'21 paper titled "Edge-Detect: Edge-centric Network Intrusion Detection using Deep Neural Network".☆46Updated last year
- ☆17Updated 4 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…☆43Updated 6 years ago
- IDS abnormal traffic detection tensorflow☆39Updated 5 years ago
- ☆11Updated last year
- Here, we use RNN to deal with the network intrusion problem. The UNSW-NB15 dataset is used.☆72Updated 4 years ago
- CICIDS2017 dataset☆70Updated 3 years ago
- ☆21Updated 4 years ago
- CANET: An Effective CNN-Attention Model for Network Intrusion Detection☆34Updated 2 years ago
- GAN / AUTOENCODER for network intrusion detection using NSL-KDD dataset: https://www.kaggle.com/datasets/hassan06/nslkdd☆18Updated 2 years ago