HanishDhanwalkar / DRL-for-Intrusion-Detection-using-VAE-Reduced-State-SpaceLinks
Implement a VAE to learn a reduced state space representation from the NSL-KDD dataset, capturing essential features of normal network traffic. Develop an RL agent that operates within the reduced state space. The RL agent's primary objective is to make adaptive decisions for intrusion detection, minimizing false positives and false negatives.
☆13Updated last year
Alternatives and similar repositories for DRL-for-Intrusion-Detection-using-VAE-Reduced-State-Space
Users that are interested in DRL-for-Intrusion-Detection-using-VAE-Reduced-State-Space are comparing it to the libraries listed below
Sorting:
- This is the source code of "Intrusion Detection of Industrial Internet-of-Things Based on Reconstructed Graph Neural Networks"☆11Updated last year
- ☆20Updated 5 months ago
- CANET: An Effective CNN-Attention Model for Network Intrusion Detection☆34Updated 2 years ago
- ☆9Updated 2 years ago
- Correlation Aware DDoS Detection In IoT Systems☆9Updated last year
- ☆13Updated last year
- An intrusion detection system model developed using CNN and Bi-LSTM.☆13Updated 3 years ago
- Towards an Explainable Artificial Intelligence Framework for Enhancing Explainability in Network Intrusion Detection Systems☆14Updated 7 months ago
- NEGSC☆37Updated last year
- Improved Autoencoder-based Ensemble In-vehicle Intrusion Detection System☆11Updated last year
- A PyTorch implementation of of Anomal-E.☆34Updated 2 years ago
- Repository for IEEE CCNC'21 paper titled "Edge-Detect: Edge-centric Network Intrusion Detection using Deep Neural Network".☆46Updated 2 years ago
- ☆15Updated 2 years ago
- Intrusion Detection System using Deep Reinforcement Learning and Generative Adversarial Networks☆45Updated 9 months ago
- Anomaly based Instrusion Detection System using RNN-LSTMs. Datasets include NSL-KDD and UNSW-NB15.☆35Updated 4 years ago
- Implementation of Robust Transformer Based Intrusion Detection, based on the Paper by Wu et. Al☆23Updated 10 months ago
- CANShield: Deep Learning-Based Intrusion Detection Framework for Controller Area Networks at the Signal-Level☆17Updated 3 weeks ago
- CANTransfer: Transfer learning based intrusion detection on a controller area network using convolutional LSTM network☆13Updated 4 years ago
- Our implementations of the flow-based network intrusion detection model (for the COMNET paper)☆46Updated 5 years ago
- Official repository for the paper "Problem space structural adversarial attacks for Network Intrusion Detection Systems based on Graph Ne…☆13Updated 11 months ago
- A GAN-based model focused on anomaly detection in discrete dataset☆26Updated 5 years ago
- Code for the paper "Anomaly-Based Intrusion Detection in IIoT Networks Using Transformer Models"☆33Updated 2 years ago
- Implementation of a multi-task model for encrypted network traffic classification based on transformer and 1D-CNN.☆36Updated last year
- Implementation of Research Paper titled: An explainable AI based Intrusion Detection System for DNS over HTTPS (DoH) Attacks on CICIDS da…☆10Updated 2 years ago
- Code Snippet used to convert CSV dataset into Images in IEEE Published Article: IoT DoS and DDoS Attack Detection using ResNet☆14Updated 3 years ago
- This project is an open-source project based on a GAN network anomaly detection.☆13Updated 11 months ago
- Anomaly Detection using PCA and BiGAN☆13Updated 4 years ago
- Code for paper: Contrastive Learning Enhanced Intrusion Detection☆18Updated 2 years ago
- PyTorch implementation of the paper "Privacy-preserving Few-shot Traffic Detection against Advanced Persistent Threats via Federated Meta…☆17Updated last year
- This platform is designed and implemented for encrypted traffic classification using deep learning☆14Updated last year