shahroztariq / CANTransfer
CANTransfer: Transfer learning based intrusion detection on a controller area network using convolutional LSTM network
☆12Updated 4 years ago
Alternatives and similar repositories for CANTransfer:
Users that are interested in CANTransfer are comparing it to the libraries listed below
- This is the source code of "Intrusion Detection of Industrial Internet-of-Things Based on Reconstructed Graph Neural Networks"☆11Updated last year
- CANShield: Deep Learning-Based Intrusion Detection Framework for Controller Area Networks at the Signal-Level☆14Updated last week
- Improved Autoencoder-based Ensemble In-vehicle Intrusion Detection System☆11Updated last year
- Purposed a network traffic classification and prediction model based on CNN, TCN and Attention mechanism.☆20Updated last year
- 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
- ☆21Updated 4 years ago
- CANET: An Effective CNN-Attention Model for Network Intrusion Detection☆31Updated 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…☆43Updated 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…☆14Updated 2 years ago
- ☆19Updated 2 months ago
- The proposed hybrid IDS is tested on two public network datasets, the CSE-CIC-IDS2018 and the TON IoT datasets, representing internal and…☆12Updated 2 years ago
- Modern and future vehicles are complex cyber-physical sys-tems. The connection to their outside environment raises many securityproblems …☆19Updated 4 years ago
- Repository for IEEE CCNC'21 paper titled "Edge-Detect: Edge-centric Network Intrusion Detection using Deep Neural Network".☆45Updated last year
- Intrusion Detection System using Deep Reinforcement Learning and Generative Adversarial Networks☆44Updated 6 months ago
- Correlation Aware DDoS Detection In IoT Systems☆9Updated last year
- A GAN-based model focused on anomaly detection in discrete dataset☆26Updated 5 years ago
- Feature Selection using Pigeon Inspired Optimizer for Intrusion Detection System☆7Updated 2 years ago
- Anomaly based Instrusion Detection System using RNN-LSTMs. Datasets include NSL-KDD and UNSW-NB15.☆33Updated 4 years ago
- This repository presents the implemetation of a highly optimized Deep Transfer Learning (DTL) and Genetic Algorithm (GA) based intrusion …☆15Updated last year
- Improving Transferability of Network Intrusion Detection in a Federated Learning Setup☆12Updated last year
- convGRU based autoencoder for unsupervised & spatial-temporal anomaly detection in computer network (PCAP) traffic.☆17Updated last year
- PyTorch implementation of the paper "Privacy-preserving Few-shot Traffic Detection against Advanced Persistent Threats via Federated Meta…☆13Updated last year
- Deep learning models for network intrusion detection☆35Updated 2 years ago
- Our implementations of the flow-based network intrusion detection model (for the COMNET paper)☆45Updated 4 years ago
- Protocol-Based Deep Intrusion Detection for DoS and DDoS Attacks Using UNSW-NB15 and Bot-IoT Data-Sets☆21Updated 2 years ago
- NEGSC☆36Updated 10 months ago
- ☆14Updated 2 years ago
- Here, we use RNN to deal with the network intrusion problem. The UNSW-NB15 dataset is used.☆68Updated 4 years ago
- ☆15Updated 2 years ago
- This repository is a proof of concept of algorithms described in T-DFNN: An Incremental Learning Algorithm for Intrusion Detection System…☆14Updated 2 years ago