Rajlaxmi04 / Network-Traffic-Anomaly-Detection-using-PCA-and-BiGANLinks
Anomaly Detection using PCA and BiGAN
☆14Updated 5 years ago
Alternatives and similar repositories for Network-Traffic-Anomaly-Detection-using-PCA-and-BiGAN
Users that are interested in Network-Traffic-Anomaly-Detection-using-PCA-and-BiGAN are comparing it to the libraries listed below
Sorting:
- Intrusion Detection System using Deep Reinforcement Learning and Generative Adversarial Networks☆50Updated last year
- Implement a VAE to learn a reduced state space representation from the NSL-KDD dataset, capturing essential features of normal network t…☆14Updated last year
- ☆20Updated 10 months ago
- This platform is designed and implemented for encrypted traffic classification using deep learning☆18Updated 2 years ago
- Our implementations of the flow-based network intrusion detection model (for the COMNET paper)☆48Updated 5 years ago
- using 2d-cnn to classify network traffic☆21Updated 5 years ago
- ☆47Updated 3 years ago
- Autoencoder based intrusion detection system trained and tested with the CICIDS2017 data set.☆38Updated 5 years ago
- ☆21Updated 5 years ago
- Anomaly based Instrusion Detection System using RNN-LSTMs. Datasets include NSL-KDD and UNSW-NB15.☆35Updated 5 years ago
- This project is an open-source project based on a GAN network anomaly detection.☆13Updated last year
- Here, we use RNN to deal with the network intrusion problem. The UNSW-NB15 dataset is used.☆75Updated 5 years ago
- ☆53Updated 4 years ago
- An Intrusion Detection System based on Deep Belief Networks☆89Updated 3 years ago
- ☆19Updated 3 years ago
- Repository for IEEE CCNC'21 paper titled "Edge-Detect: Edge-centric Network Intrusion Detection using Deep Neural Network".☆48Updated 2 years ago
- Pytorch implementation of LuNet: A Deep Neural Network for Network Intrusion Detection☆52Updated 5 years ago
- The proposed hybrid IDS is tested on two public network datasets, the CSE-CIC-IDS2018 and the TON IoT datasets, representing internal and…☆16Updated 3 years ago
- Synthesis of Adversarial DDos Attacks Using Tabular Generative Adversarial Networks☆10Updated 2 years ago
- A GAN-based model focused on anomaly detection in discrete dataset☆26Updated 5 years ago
- A PyTorch implementation of of Anomal-E.☆37Updated 2 years ago
- Generative adversarial networks for Network Intrusion Benchmark datasets☆41Updated last year
- Replication files for arXiv:1803.10769 Network Traffic Anomaly Detection Using Recurrent Neural Networks☆24Updated 6 years ago
- ☆15Updated last year
- Network System Intrusion Detection using Graph Neural Networks☆20Updated 2 years ago
- A PyTorch implementation of of E-GraphSAGE.☆94Updated 3 years ago
- convGRU based autoencoder for unsupervised & spatial-temporal anomaly detection in computer network (PCAP) traffic.☆17Updated last year
- Application of novel EC-GAN method on Network Intrusion Detection☆24Updated 3 years ago
- GAN / AUTOENCODER for network intrusion detection using NSL-KDD dataset: https://www.kaggle.com/datasets/hassan06/nslkdd☆19Updated 2 years ago
- Network Traffic Classification with Graph Neural Networks☆11Updated 2 years ago