Intrusion Detection System using Deep Reinforcement Learning and Generative Adversarial Networks
☆50Sep 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
Sorting:
- Distributed intelligent malicious traffic detection system based on GAN☆18Apr 8, 2020Updated 5 years ago
- GAN / AUTOENCODER for network intrusion detection using NSL-KDD dataset: https://www.kaggle.com/datasets/hassan06/nslkdd☆19Apr 25, 2023Updated 2 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
- A GAN-based model focused on anomaly detection in discrete dataset☆26Dec 30, 2019Updated 6 years ago
- IDS-GAN: Generative Adversarial Networks for AttackGeneration against Intrusion Detection☆28Jan 17, 2024Updated 2 years ago
- wx☆11Aug 14, 2022Updated 3 years ago
- Application of novel EC-GAN method on Network Intrusion Detection☆24Dec 24, 2021Updated 4 years ago
- Network Intrusion Detection System on CSE-CIC-IDS2018 using ML classifiers and DNN ( ANN , CNN , RNN ) | Hyper-parameter Optimization { l…☆21Oct 16, 2021Updated 4 years ago
- This project is an open-source project based on a GAN network anomaly detection.☆14Aug 4, 2024Updated last year
- ☆16Jul 15, 2022Updated 3 years ago
- 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.☆26Apr 30, 2021Updated 4 years ago
- Intrusion Detection System using Machine Learning and Deep Learning☆88Dec 27, 2023Updated 2 years ago
- Code for Paper : Efficient-CNN-BiLSTM-for-Network-IDS☆122Oct 25, 2022Updated 3 years ago
- Using Wasserstein Generative Adversarial Network to fool intrusion detection systems (IDS) into believing that malicious traffic is norma…☆80May 25, 2023Updated 2 years ago
- Thesis research on enhancing Network Intrusion Detection System (NIDS) explainability using Transformers.☆18Sep 11, 2023Updated 2 years ago
- Implementation of "ConFlow: Contrast Network Flow Improving Class-Imbalanced Learning in Network Intrusion Detection"☆15May 17, 2022Updated 3 years ago
- This implementation for the paper: Learning Neural Representations for Network Anomaly Detection. If you have questions, please do not he…☆18Aug 20, 2019Updated 6 years ago
- Code for the paper "Anomaly-Based Intrusion Detection in IIoT Networks Using Transformer Models"☆36Mar 3, 2023Updated 3 years ago
- ☆21Sep 21, 2020Updated 5 years ago
- The Unified Multimodal NIDS Dataset Tool performs the standardization of network intrusion detection datasets by extracting comprehensive…☆15Jan 22, 2025Updated 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
- Implementation of Robust Transformer Based Intrusion Detection, based on the Paper by Wu et. Al☆28Sep 10, 2024Updated last year
- 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…☆47Sep 24, 2022Updated 3 years ago
- Here we try to detect the attack at it's first attempt using machine learning algorithms(Reinforcement l)☆11Apr 27, 2020Updated 5 years ago
- Improved Autoencoder-based Ensemble In-vehicle Intrusion Detection System☆13Oct 3, 2023Updated 2 years ago
- Here, we use RNN to deal with the network intrusion problem. The UNSW-NB15 dataset is used.☆75Oct 20, 2020Updated 5 years ago
- Code for the paper: "AOC-IDS: Autonomous Online Framework with Contrastive Learning for Intrusion Detection" (Infocom 2024)☆33Dec 6, 2024Updated last year
- "CAN bus intrusion detection based on auxiliary classifier GAN and out-of-distribution detection" Code, move from github.com/leyiweb/CAN_…☆18Oct 2, 2025Updated 5 months ago
- Federated Learning in Network Intrusion Detection☆14Feb 22, 2023Updated 3 years ago
- Scripts for downloading, preprocessing, and numpy-ifying popular machine learning datasets☆11Jan 2, 2025Updated last year
- Intrusion Detection System, IDS，Cyberattack Detection，Pytorch，Transformer☆11Oct 17, 2022Updated 3 years ago
- ☆14Sep 15, 2021Updated 4 years ago
- Towards an Explainable Artificial Intelligence Framework for Enhancing Explainability in Network Intrusion Detection Systems☆21Nov 30, 2024Updated last year
- Code for the paper: "Continual Learning with Strategic Selection and Forgetting for Network Intrusion Detection" (Infocom 2025)☆21Aug 28, 2025Updated 6 months ago
- Source code for paper "Multi-Classification In-Vehicle Intrusion Detection System using Packet- and Sequence-Level Characteristics from T…☆42Apr 17, 2025Updated 10 months ago
- Code for intrusion detection system (IDS) development using CNN models and transfer learning☆199Apr 21, 2023Updated 2 years ago
- Anomaly Detection using PCA and BiGAN☆14Sep 27, 2020Updated 5 years ago
- CTU13 CSV Dataset contains Botnet, Normal and Background traffic☆18Feb 2, 2023Updated 3 years ago