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:
- Here, we use RNN to deal with the network intrusion problem. The UNSW-NB15 dataset is used.☆75Updated 5 years ago
- ☆21Updated 5 years ago
- using 2d-cnn to classify network traffic☆21Updated 5 years ago
- Anomaly based Instrusion Detection System using RNN-LSTMs. Datasets include NSL-KDD and UNSW-NB15.☆35Updated 5 years ago
- Our implementations of the flow-based network intrusion detection model (for the COMNET paper)☆48Updated 5 years ago
- Pytorch implementation of LuNet: A Deep Neural Network for Network Intrusion Detection☆52Updated 5 years ago
- This platform is designed and implemented for encrypted traffic classification using deep learning☆18Updated 2 years ago
- Autoencoder based intrusion detection system trained and tested with the CICIDS2017 data set.☆38Updated 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…☆15Updated 3 years ago
- 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
- ☆21Updated 11 months ago
- ☆10Updated last year
- This project is an open-source project based on a GAN network anomaly detection.☆14Updated last year
- Code for the paper "Anomaly-Based Intrusion Detection in IIoT Networks Using Transformer Models"☆34Updated 2 years ago
- ☆53Updated 4 years ago
- ☆11Updated 4 years ago
- Deep learning models for network intrusion detection☆39Updated 2 years ago
- An Intrusion Detection System based on Deep Belief Networks☆89Updated 3 years ago
- ☆48Updated 3 years ago
- ☆19Updated 3 years ago
- Intrusion Detection System using Deep Reinforcement Learning and Generative Adversarial Networks☆50Updated last year
- An intrusion detection system model developed using CNN and Bi-LSTM.☆13Updated 3 years ago
- ☆31Updated 2 years ago
- CANET: An Effective CNN-Attention Model for Network Intrusion Detection☆37Updated 2 years ago
- Implementation of Robust Transformer Based Intrusion Detection, based on the Paper by Wu et. Al☆26Updated last year
- 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
- A GAN-based model focused on anomaly detection in discrete dataset☆26Updated 5 years ago
- Feature coded UNSW_NB15 intrusion detection data.☆87Updated 7 years ago
- Network System Intrusion Detection using Graph Neural Networks☆20Updated 2 years ago
- Encrypted Network Traffic Classification using Deep Learning☆61Updated last year