Intrusion Detection System using Deep Reinforcement Learning and Generative Adversarial Networks
☆51Sep 20, 2024Updated last year
Alternatives and similar repositories for GAN_DRL_IDS
Users that are interested in GAN_DRL_IDS are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Distributed intelligent malicious traffic detection system based on GAN☆18Apr 8, 2020Updated 6 years ago
- GAN / AUTOENCODER for network intrusion detection using NSL-KDD dataset: https://www.kaggle.com/datasets/hassan06/nslkdd☆19Apr 25, 2023Updated 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…☆14Feb 15, 2024Updated 2 years ago
- A generative deep learning model based on GAN architecture was implemented to generate synthetic network data (benign and malicious) alik…☆10Oct 23, 2021Updated 4 years ago
- IDS-GAN: Generative Adversarial Networks for AttackGeneration against Intrusion Detection☆27Jan 17, 2024Updated 2 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- A GAN-based model focused on anomaly detection in discrete dataset☆26Dec 30, 2019Updated 6 years ago
- wx☆11Aug 14, 2022Updated 3 years ago
- This project is an open-source project based on a GAN network anomaly detection.☆14Aug 4, 2024Updated last year
- Reproduce the code of papers related to the field of NIDS(network intrusion detection system).入侵检测领域的相关论文复现/适配本地PC后的代码.☆27Apr 30, 2021Updated 5 years ago
- Intrusion Detection System using Machine Learning and Deep Learning☆88Dec 27, 2023Updated 2 years ago
- Using Wasserstein Generative Adversarial Network to fool intrusion detection systems (IDS) into believing that malicious traffic is norma…☆81May 25, 2023Updated 3 years ago
- Thesis research on enhancing Network Intrusion Detection System (NIDS) explainability using Transformers.☆18Sep 11, 2023Updated 2 years ago
- ☆21Sep 21, 2020Updated 5 years ago
- ☆16Jul 15, 2022Updated 3 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- the DL methods used are : DNN, CNN, LSTM, GRU, CNN-LSTM, CNN-GRU, CNN-BiLSTM, CNN-BiGRU, the dataset used is : imbalanced NSL-KDD (KDDTra…☆48Sep 24, 2022Updated 3 years ago
- FL-based intrusion detection system development using model averaging.☆46Dec 18, 2022Updated 3 years ago
- Code for Paper : Efficient-CNN-BiLSTM-for-Network-IDS☆125Oct 25, 2022Updated 3 years ago
- Intrusion Detection System, IDS，Cyberattack Detection，Pytorch，Transformer☆11Oct 17, 2022Updated 3 years ago
- Improved Autoencoder-based Ensemble In-vehicle Intrusion Detection System☆13Oct 3, 2023Updated 2 years ago
- Here we try to detect the attack at it's first attempt using machine learning algorithms(Reinforcement l)☆11Apr 27, 2020Updated 6 years ago
- ☆15Sep 15, 2021Updated 4 years ago
- Sharkticon is an anomaly detection system, it analyzes your network using a Transformers model adapted to the anomaly detection.☆23May 19, 2023Updated 3 years ago
- "CAN bus intrusion detection based on auxiliary classifier GAN and out-of-distribution detection" Code, move from github.com/leyiweb/CAN_…☆20Oct 2, 2025Updated 9 months ago
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- Anomaly Detection using PCA and BiGAN☆14Sep 27, 2020Updated 5 years ago
- Generate high quality images for each class even with an imbalanced dataset. An enhanced version of Balancing GAN.☆40Jan 26, 2026Updated 5 months ago
- Machine Learning Intrusion Detection and Network Monitor☆14Aug 30, 2024Updated last year
- Scripts for downloading, preprocessing, and numpy-ifying popular machine learning datasets☆11Jan 2, 2025Updated last year
- Generative adversarial networks for Network Intrusion Benchmark datasets☆43Aug 2, 2024Updated last year
- This is the MATLAB based simulation of optimized Vehicular Fog Computing framework that minimizes the latency during the computatin tasks…☆12Jul 11, 2024Updated last year
- Code for intrusion detection system (IDS) development using CNN models and transfer learning☆207Apr 20, 2026Updated 2 months ago
- Autoencoder based intrusion detection system trained and tested with the CICIDS2017 data set.☆42Jun 15, 2020Updated 6 years ago
- Source code for paper "Multi-Classification In-Vehicle Intrusion Detection System using Packet- and Sequence-Level Characteristics from T…☆41Apr 17, 2025Updated last year
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Code to reproduce 'Combining GANs and AutoEncoders for efficient anomaly detection'☆41Nov 2, 2021Updated 4 years ago
- Tool for loading and testing native shaders translated from crosstl☆13Dec 15, 2024Updated last year
- Code for the paper: "AOC-IDS: Autonomous Online Framework with Contrastive Learning for Intrusion Detection" (Infocom 2024)☆41Dec 6, 2024Updated last year
- Federated Learning in Network Intrusion Detection☆14Feb 22, 2023Updated 3 years ago
- ☆24Aug 8, 2022Updated 3 years ago
- Replication of Jay Sinha's Efficient Deep CNN-BiLSTM model for network intrusion detection using NSL-KDD and UNSW-NB15 datasets to unders…☆17Aug 25, 2024Updated last year
- Feature coded UNSW_NB15 intrusion detection data.☆89Jan 24, 2018Updated 8 years ago