zhenlus / GNN-IDS
A Graph Neural Network-based Intrusion Detection System
☆16Updated 9 months ago
Alternatives and similar repositories for GNN-IDS
Users that are interested in GNN-IDS are comparing it to the libraries listed below
Sorting:
- Official repository for the paper "Problem space structural adversarial attacks for Network Intrusion Detection Systems based on Graph Ne…☆12Updated 9 months ago
- Improved Autoencoder-based Ensemble In-vehicle Intrusion Detection System☆11Updated last year
- CANShield: Deep Learning-Based Intrusion Detection Framework for Controller Area Networks at the Signal-Level☆14Updated last month
- Source code for paper "Multi-Classification In-Vehicle Intrusion Detection System using Packet- and Sequence-Level Characteristics from T…☆30Updated 3 weeks ago
- A PyTorch implementation of of Anomal-E.☆34Updated 2 years ago
- ☆18Updated last year
- NEGSC☆38Updated 11 months ago
- Implement a VAE to learn a reduced state space representation from the NSL-KDD dataset, capturing essential features of normal network t…☆13Updated last year
- Implementation of Robust Transformer Based Intrusion Detection, based on the Paper by Wu et. Al☆22Updated 8 months ago
- ☆9Updated last year
- ☆19Updated 3 months ago
- This is the source code of "Intrusion Detection of Industrial Internet-of-Things Based on Reconstructed Graph Neural Networks"☆11Updated last year
- CANET: An Effective CNN-Attention Model for Network Intrusion Detection☆33Updated 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
- ☆11Updated last year
- This repository presents the implemetation of a highly optimized Deep Transfer Learning (DTL) and Genetic Algorithm (GA) based intrusion …☆16Updated last year
- ☆12Updated 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…☆44Updated 2 years ago
- ☆41Updated 2 years ago
- An intrusion detection system model developed using CNN and Bi-LSTM.☆13Updated 2 years ago
- ☆16Updated 2 years ago
- Code for paper: Contrastive Learning Enhanced Intrusion Detection☆18Updated 2 years ago
- Intrusion Detection System, IDS,Cyberattack Detection,Pytorch,Transformer☆9Updated 2 years ago
- ☆48Updated 3 years ago
- Correlation Aware DDoS Detection In IoT Systems☆9Updated last year
- Code for the paper "Anomaly-Based Intrusion Detection in IIoT Networks Using Transformer Models"☆33Updated 2 years ago
- Improving Transferability of Network Intrusion Detection in a Federated Learning Setup☆12Updated last year
- FedMSE: Semi-supervised federated learning approach for IoT network intrusion detection☆16Updated last month
- CANTransfer: Transfer learning based intrusion detection on a controller area network using convolutional LSTM network☆12Updated 4 years ago
- The pytorch implementation of E-GraphSAGE and E-ResGAT, two solutions for intrusion detection.☆70Updated 3 years ago