wangkai-tech23 / LiParLinks
LiPar: A Lightweight Parallel Learning Model for Practical In-Vehicle Network Intrusion Detection (arXiv:2311.08000v2)
☆24Updated 10 months ago
Alternatives and similar repositories for LiPar
Users that are interested in LiPar are comparing it to the libraries listed below
Sorting:
- Source code for paper "Multi-Classification In-Vehicle Intrusion Detection System using Packet- and Sequence-Level Characteristics from T…☆36Updated 7 months ago
- Code for intrusion detection system (IDS) development using CNN models and transfer learning☆195Updated 2 years ago
- Implementation of Robust Transformer Based Intrusion Detection, based on the Paper by Wu et. Al☆23Updated last year
- An Intrusion Detection System based on Deep Belief Networks☆89Updated 3 years ago
- Code for the paper "Detecting In-vehicle Intrusion via Semi-supervised Learning-based Convolutional Adversarial Autoencoders"☆44Updated 3 years ago
- Code for Paper : Efficient-CNN-BiLSTM-for-Network-IDS☆117Updated 3 years ago
- An intelligent classifier based Intrusion Detection System for IoV’s based on Neural Networks like optimized CNN, transfer learning and e…☆18Updated 3 years ago
- ☆91Updated last year
- Improved Autoencoder-based Ensemble In-vehicle Intrusion Detection System☆12Updated 2 years ago
- CANET: An Effective CNN-Attention Model for Network Intrusion Detection☆37Updated 2 years ago
- Intrusion Detection System, IDS，Cyberattack Detection，Pytorch，Transformer☆11Updated 3 years ago
- ☆47Updated 3 years ago
- Network System Intrusion Detection using Graph Neural Networks☆19Updated 2 years ago
- Intrusion Detection System using Machine Learning and Deep Learning☆90Updated last year
- Deep learning models for network intrusion detection☆40Updated 2 years ago
- Protocol-Based Deep Intrusion Detection for DoS and DDoS Attacks Using UNSW-NB15 and Bot-IoT Data-Sets☆23Updated 3 years ago
- Code for the paper "Anomaly-Based Intrusion Detection in IIoT Networks Using Transformer Models"☆33Updated 2 years ago
- GAN_based_Intrusion_Detection_System_for_in-vehicle_network☆16Updated 11 months ago
- Here, we use RNN to deal with the network intrusion problem. The UNSW-NB15 dataset is used.☆75Updated 5 years ago
- Our implementations of the flow-based network intrusion detection model (for the COMNET paper)☆48Updated 5 years ago
- CANShield: Deep Learning-Based Intrusion Detection Framework for Controller Area Networks at the Signal-Level☆19Updated 5 months ago
- Anomaly based Instrusion Detection System using RNN-LSTMs. Datasets include NSL-KDD and UNSW-NB15.☆35Updated 5 years ago
- Intrusion Detection System using Deep Reinforcement Learning and Generative Adversarial Networks☆49Updated last year
- Thesis research on enhancing Network Intrusion Detection System (NIDS) explainability using Transformers.☆17Updated 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 3 years ago
- 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
- One Train for Two Tasks: An Encrypted Traffic Classification Framework Using Supervised Contrastive Learning☆50Updated 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…☆46Updated 3 years ago
- Autoencoder based intrusion detection system trained and tested with the CICIDS2017 data set.☆37Updated 5 years ago
- ☆22Updated last year