NikosMouzakitis / GAN_based_Intrusion_Detection_System_for_in-vehicle_network
GAN_based_Intrusion_Detection_System_for_in-vehicle_network
☆13Updated 5 months ago
Alternatives and similar repositories for GAN_based_Intrusion_Detection_System_for_in-vehicle_network
Users that are interested in GAN_based_Intrusion_Detection_System_for_in-vehicle_network are comparing it to the libraries listed below
Sorting:
- ☆16Updated 2 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
- Modern and future vehicles are complex cyber-physical sys-tems. The connection to their outside environment raises many securityproblems …☆19Updated 4 years ago
- LiPar: A Lightweight Parallel Learning Model for Practical In-Vehicle Network Intrusion Detection (arXiv:2311.08000v2)☆16Updated 4 months ago
- CANET: An Effective CNN-Attention Model for Network Intrusion Detection☆34Updated 2 years ago
- Code for the paper "Detecting In-vehicle Intrusion via Semi-supervised Learning-based Convolutional Adversarial Autoencoders"☆39Updated 2 years ago
- Anomaly based Instrusion Detection System using RNN-LSTMs. Datasets include NSL-KDD and UNSW-NB15.☆34Updated 4 years ago
- Intrusion Detection System using Deep Reinforcement Learning and Generative Adversarial Networks☆44Updated 7 months ago
- An Intrusion Detection System based on Deep Belief Networks☆83Updated 2 years ago
- Reproduction of "Sliding Window Optimized Information Entropy Analysis Method for Intrusion Detection on In-Vehicle Networks"☆12Updated 3 years ago
- Improved Autoencoder-based Ensemble In-vehicle Intrusion Detection System☆11Updated last year
- Source code for paper "Multi-Classification In-Vehicle Intrusion Detection System using Packet- and Sequence-Level Characteristics from T…☆31Updated last month
- Here, we use RNN to deal with the network intrusion problem. The UNSW-NB15 dataset is used.☆69Updated 4 years ago
- ☆41Updated 2 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
- Protocol-Based Deep Intrusion Detection for DoS and DDoS Attacks Using UNSW-NB15 and Bot-IoT Data-Sets☆22Updated 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…☆44Updated 2 years ago
- A Deep Learning Based Intrusion Detection System for IIoT Networks☆11Updated 10 months ago
- ⼀个有潜⼒的⽹络⼊侵检测算法,引⼊了乘法注意⼒机制将其融合到 CNN 的分类模型中,在KDD99和UNSM-NB15数据集进行模型的训练结果优于一般机器学习方法和CNN。A promising network intrusion detection algorithm is…☆11Updated last year
- Synthesis of Adversarial DDos Attacks Using Tabular Generative Adversarial Networks☆10Updated 2 years ago
- Deep learning models for network intrusion detection☆35Updated 2 years ago
- Code for Paper : Efficient-CNN-BiLSTM-for-Network-IDS☆109Updated 2 years ago
- Intrusion Detection Based on Convolutional Neural Network with kdd99 data set☆54Updated 6 years ago
- Distributed intelligent malicious traffic detection system based on GAN☆18Updated 5 years ago
- A GAN-based model focused on anomaly detection in discrete dataset☆26Updated 5 years ago
- ramyaelineni5 / ML-based-Network-Intrusion-Detection-using-Cyber-Dataset-CSE-CIC-IDS2018-to-classify-network-attacks☆44Updated 4 years ago
- Anomaly Detection using PCA and BiGAN☆13Updated 4 years ago
- DISEÑO Y EVALUACIÓN DE REDES NEURONALES CONVOLUCIONALES PARA UN SISTEMA DE DETECCIÓN DE INTRUSIONES☆14Updated 4 years ago
- Intrusion Detection System using Machine Learning and Deep Learning☆87Updated last year
- Code for intrusion detection system (IDS) development using CNN models and transfer learning☆168Updated 2 years ago