tsinghua-fib-lab / NetworkTrafficGenerationLinks
☆19Updated 3 years ago
Alternatives and similar repositories for NetworkTrafficGeneration
Users that are interested in NetworkTrafficGeneration are comparing it to the libraries listed below
Sorting:
- ☆89Updated last year
- Intrusion Detection System using Deep Reinforcement Learning and Generative Adversarial Networks☆47Updated last year
- Autoencoder based intrusion detection system trained and tested with the CICIDS2017 data set.☆36Updated 5 years ago
- This is repository of the paper NetDiffus: Network Traffic Generation by Diffusion Models through Time-Series Imaging.☆22Updated last year
- An Intrusion Detection System based on Deep Belief Networks☆86Updated 2 years ago
- ☆46Updated 3 years ago
- Deep learning models for network intrusion detection☆40Updated 2 years ago
- ☆20Updated 8 months ago
- This platform is designed and implemented for encrypted traffic classification using deep learning☆17Updated 2 years ago
- Code for Paper : Efficient-CNN-BiLSTM-for-Network-IDS☆114Updated 2 years ago
- Anomaly Detection using PCA and BiGAN☆14Updated 5 years ago
- Pytorch implementation of LuNet: A Deep Neural Network for Network Intrusion Detection☆52Updated 5 years ago
- Anomaly based Instrusion Detection System using RNN-LSTMs. Datasets include NSL-KDD and UNSW-NB15.☆35Updated 5 years ago
- Generate network packets using generative modeling☆13Updated 2 years ago
- CICIDS2017 dataset☆70Updated 3 years ago
- Generative adversarial networks for Network Intrusion Benchmark datasets☆38Updated last year
- using 2d-cnn to classify network traffic☆21Updated 5 years ago
- Implement a VAE to learn a reduced state space representation from the NSL-KDD dataset, capturing essential features of normal network t…☆13Updated last year
- Here, we use RNN to deal with the network intrusion problem. The UNSW-NB15 dataset is used.☆74Updated 4 years ago
- A PyTorch implementation of of Anomal-E.☆35Updated 2 years ago
- Encrypted Network Traffic Classification using Deep Learning☆56Updated last year
- ☆26Updated last year
- Implementation of a multi-task model for encrypted network traffic classification based on transformer and 1D-CNN.☆36Updated last year
- ☆19Updated 4 years ago
- Code for the paper "Anomaly-Based Intrusion Detection in IIoT Networks Using Transformer Models"☆33Updated 2 years ago
- Network System Intrusion Detection using Graph Neural Networks☆20Updated 2 years ago
- 论文Encrypted Traffic Classification with One-dimensional Convolution Neural Networks的torch实现☆39Updated 2 years ago
- One Train for Two Tasks: An Encrypted Traffic Classification Framework Using Supervised Contrastive Learning☆48Updated last year
- ☆69Updated 9 months ago
- Our implementations of the flow-based network intrusion detection model (for the COMNET paper)☆47Updated 5 years ago