sampathrajapaksha / Ensemble-IDS
Improved Autoencoder-based Ensemble In-vehicle Intrusion Detection System
☆9Updated last year
Alternatives and similar repositories for Ensemble-IDS:
Users that are interested in Ensemble-IDS are comparing it to the libraries listed below
- Source code for paper "Multi-Classification In-Vehicle Intrusion Detection System using Packet- and Sequence-Level Characteristics from T…☆20Updated 3 months ago
- Modern and future vehicles are complex cyber-physical sys-tems. The connection to their outside environment raises many securityproblems …☆20Updated 3 years ago
- CANShield: Deep Learning-Based Intrusion Detection Framework for Controller Area Networks at the Signal-Level☆13Updated 3 months ago
- CANET: An Effective CNN-Attention Model for Network Intrusion Detection☆29Updated last year
- CANTransfer: Transfer learning based intrusion detection on a controller area network using convolutional LSTM network☆12Updated 4 years ago
- ☆37Updated 2 years ago
- An intelligent classifier based Intrusion Detection System for IoV’s based on Neural Networks like optimized CNN, transfer learning and e…☆16Updated 2 years ago
- GAN_based_Intrusion_Detection_System_for_in-vehicle_network☆12Updated last month
- ☆12Updated 2 years ago
- ☆14Updated 2 years ago
- Development of a transfer learning system for the detection of cyber-attacks in 5G and IoT networks. Transfer learning will improve the a…☆13Updated 2 years ago
- ☆14Updated 2 years ago
- Code for the paper "Detecting In-vehicle Intrusion via Semi-supervised Learning-based Convolutional Adversarial Autoencoders"☆34Updated 2 years ago
- This is the source code of "Intrusion Detection of Industrial Internet-of-Things Based on Reconstructed Graph Neural Networks"☆11Updated last year
- ☆19Updated last year
- LiPar: A Lightweight Parallel Learning Model for Practical In-Vehicle Network Intrusion Detection (arXiv:2311.08000v2)☆13Updated this week
- This study proposes a two- level classification technique for the anomaly detection-based IDS architecture for fog-edge sides. Targeted f…☆13Updated 2 years ago
- 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…☆37Updated 2 years ago
- PyTorch implementation of the paper "Privacy-preserving Few-shot Traffic Detection against Advanced Persistent Threats via Federated Meta…☆13Updated last year
- Repository for IEEE CCNC'21 paper titled "Edge-Detect: Edge-centric Network Intrusion Detection using Deep Neural Network".☆44Updated last year
- Implementation of Robust Transformer Based Intrusion Detection, based on the Paper by Wu et. Al☆21Updated 4 months ago
- Intrusion Detection System using Deep Reinforcement Learning and Generative Adversarial Networks☆43Updated 3 months ago
- Protocol-Based Deep Intrusion Detection for DoS and DDoS Attacks Using UNSW-NB15 and Bot-IoT Data-Sets☆20Updated 2 years ago
- Intrusion Detection System, IDS,Cyberattack Detection,Pytorch,Transformer☆9Updated 2 years ago
- Reproduction of "Sliding Window Optimized Information Entropy Analysis Method for Intrusion Detection on In-Vehicle Networks"☆13Updated 3 years ago
- Our implementations of the flow-based network intrusion detection model (for the COMNET paper)☆43Updated 4 years ago
- An intrusion detection system model developed using CNN and Bi-LSTM.☆12Updated 2 years ago
- ☆72Updated last year
- This platform is designed and implemented for encrypted traffic classification using deep learning☆12Updated last year
- Code Snippet used to convert CSV dataset into Images in IEEE Published Article: IoT DoS and DDoS Attack Detection using ResNet☆12Updated 3 years ago