d41sys / CAN-AE-Transformer-IDSLinks
Source code for paper "Multi-Classification In-Vehicle Intrusion Detection System using Packet- and Sequence-Level Characteristics from Time-Embedded Transformer with Autoencoder"
☆34Updated 5 months ago
Alternatives and similar repositories for CAN-AE-Transformer-IDS
Users that are interested in CAN-AE-Transformer-IDS are comparing it to the libraries listed below
Sorting:
- Implementation of Robust Transformer Based Intrusion Detection, based on the Paper by Wu et. Al☆22Updated last year
- LiPar: A Lightweight Parallel Learning Model for Practical In-Vehicle Network Intrusion Detection (arXiv:2311.08000v2)☆18Updated 8 months ago
- CANET: An Effective CNN-Attention Model for Network Intrusion Detection☆35Updated 2 years ago
- Improved Autoencoder-based Ensemble In-vehicle Intrusion Detection System☆11Updated last year
- Code for intrusion detection system (IDS) development using CNN models and transfer learning☆184Updated 2 years ago
- ☆88Updated last year
- Code for the paper "Detecting In-vehicle Intrusion via Semi-supervised Learning-based Convolutional Adversarial Autoencoders"☆42Updated 3 years ago
- ☆16Updated 3 years ago
- ☆14Updated last year
- Intrusion Detection System, IDS，Cyberattack Detection，Pytorch，Transformer☆10Updated 2 years ago
- An Intrusion Detection System based on Deep Belief Networks☆86Updated 2 years ago
- An intelligent classifier based Intrusion Detection System for IoV’s based on Neural Networks like optimized CNN, transfer learning and e…☆17Updated 3 years ago
- ☆45Updated 3 years ago
- ☆16Updated 2 years ago
- Code for the paper "Anomaly-Based Intrusion Detection in IIoT Networks Using Transformer Models"☆33Updated 2 years ago
- ☆20Updated 7 months ago
- Implement a VAE to learn a reduced state space representation from the NSL-KDD dataset, capturing essential features of normal network t…☆13Updated last year
- PyTorch implementation of the paper "Privacy-preserving Few-shot Traffic Detection against Advanced Persistent Threats via Federated Meta…☆19Updated last year
- Repository for IEEE CCNC'21 paper titled "Edge-Detect: Edge-centric Network Intrusion Detection using Deep Neural Network".☆46Updated 2 years ago
- Code for the IEEE IoTJ paper "Semi-Supervised Federated Learning Based Intrusion Detection Method for Internet of Things"☆30Updated 2 years ago
- 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
- FedMSE: Semi-supervised federated learning approach for IoT network intrusion detection☆22Updated 5 months ago
- Modern and future vehicles are complex cyber-physical sys-tems. The connection to their outside environment raises many securityproblems …☆19Updated 4 years ago
- Code for paper: Contrastive Learning Enhanced Intrusion Detection☆18Updated 2 years ago
- CANShield: Deep Learning-Based Intrusion Detection Framework for Controller Area Networks at the Signal-Level☆17Updated 2 months ago
- Anomaly based Instrusion Detection System using RNN-LSTMs. Datasets include NSL-KDD and UNSW-NB15.☆35Updated 5 years ago
- Here, we use RNN to deal with the network intrusion problem. The UNSW-NB15 dataset is used.☆73Updated 4 years ago
- Our implementations of the flow-based network intrusion detection model (for the COMNET paper)☆47Updated 5 years ago
- Pytorch implementation of LuNet: A Deep Neural Network for Network Intrusion Detection☆52Updated 5 years ago
- ☆21Updated 10 months ago