EunSeong-Seo / GIDS-GAN_based_Intrusion_Detection_System_for_In-Vehicle_Network
☆15Updated 2 years ago
Alternatives and similar repositories for GIDS-GAN_based_Intrusion_Detection_System_for_In-Vehicle_Network:
Users that are interested in GIDS-GAN_based_Intrusion_Detection_System_for_In-Vehicle_Network are comparing it to the libraries listed below
- GAN_based_Intrusion_Detection_System_for_in-vehicle_network☆13Updated 3 months ago
- GAN / AUTOENCODER for network intrusion detection using NSL-KDD dataset: https://www.kaggle.com/datasets/hassan06/nslkdd☆17Updated last year
- An intelligent classifier based Intrusion Detection System for IoV’s based on Neural Networks like optimized CNN, transfer learning and e…☆19Updated 2 years ago
- Improved Autoencoder-based Ensemble In-vehicle Intrusion Detection System☆11Updated last year
- Modern and future vehicles are complex cyber-physical sys-tems. The connection to their outside environment raises many securityproblems …☆19Updated 4 years ago
- Generative adversarial networks for Network Intrusion Benchmark datasets☆34Updated 7 months ago
- Code for the paper "Detecting In-vehicle Intrusion via Semi-supervised Learning-based Convolutional Adversarial Autoencoders"☆37Updated 2 years ago
- CANET: An Effective CNN-Attention Model for Network Intrusion Detection☆31Updated last year
- Application of novel EC-GAN method on Network Intrusion Detection☆19Updated 3 years ago
- ☆40Updated 2 years ago
- Intrusion Detection System using Deep Reinforcement Learning and Generative Adversarial Networks☆44Updated 6 months ago
- A GAN-based model focused on anomaly detection in discrete dataset☆26Updated 5 years ago
- Source code for paper "Multi-Classification In-Vehicle Intrusion Detection System using Packet- and Sequence-Level Characteristics from T…☆27Updated 6 months ago
- Network Intrusion Detection System on CSE-CIC-IDS2018 using ML classifiers and DNN ( ANN , CNN , RNN ) | Hyper-parameter Optimization { l…☆20Updated 3 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…☆43Updated 2 years ago
- CANShield: Deep Learning-Based Intrusion Detection Framework for Controller Area Networks at the Signal-Level☆14Updated 2 weeks ago
- CANTransfer: Transfer learning based intrusion detection on a controller area network using convolutional LSTM network☆12Updated 4 years ago
- Anomaly based Instrusion Detection System using RNN-LSTMs. Datasets include NSL-KDD and UNSW-NB15.☆33Updated 4 years ago
- IDS-GAN: Generative Adversarial Networks for AttackGeneration against Intrusion Detection☆22Updated 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
- A study on Deep Learning and Graph Neural Network for Intrusion Detection and Prevention (CNN, VAE, GNN,...)☆9Updated 2 years ago
- ☆19Updated 2 months ago
- Reproduction of "Sliding Window Optimized Information Entropy Analysis Method for Intrusion Detection on In-Vehicle Networks"☆12Updated 3 years ago
- Distributed intelligent malicious traffic detection system based on GAN☆18Updated 4 years ago
- Autoencoder based intrusion detection system trained and tested with the CICIDS2017 data set.☆31Updated 4 years 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
- Here, we use RNN to deal with the network intrusion problem. The UNSW-NB15 dataset is used.☆68Updated 4 years ago
- Towards an Explainable Artificial Intelligence Framework for Enhancing Explainability in Network Intrusion Detection Systems☆11Updated 4 months ago
- Anomaly Detection using PCA and BiGAN☆13Updated 4 years ago
- Code for the paper "Anomaly-Based Intrusion Detection in IIoT Networks Using Transformer Models"☆33Updated 2 years ago