ZhangYichi1994 / GIDLinks
This is the source code of "Intrusion Detection of Industrial Internet-of-Things Based on Reconstructed Graph Neural Networks"
☆12Updated 2 years ago
Alternatives and similar repositories for GID
Users that are interested in GID are comparing it to the libraries listed below
Sorting:
- Implement a VAE to learn a reduced state space representation from the NSL-KDD dataset, capturing essential features of normal network t…☆14Updated last year
- NEGSC☆46Updated last year
- A Graph Neural Network-based Intrusion Detection System☆29Updated last year
- CANTransfer: Transfer learning based intrusion detection on a controller area network using convolutional LSTM network☆17Updated 5 years ago
- Repository for IEEE CCNC'21 paper titled "Edge-Detect: Edge-centric Network Intrusion Detection using Deep Neural Network".☆48Updated 2 years ago
- Intrusion Detection System using Deep Reinforcement Learning and Generative Adversarial Networks☆49Updated last year
- Improved Autoencoder-based Ensemble In-vehicle Intrusion Detection System☆13Updated 2 years ago
- A PyTorch implementation of of Anomal-E.☆38Updated 3 years ago
- ☆21Updated 11 months ago
- Development of a transfer learning system for the detection of cyber-attacks in 5G and IoT networks. Transfer learning will improve the a…☆15Updated 3 years ago
- CANET: An Effective CNN-Attention Model for Network Intrusion Detection☆37Updated 2 years ago
- Anomaly based Instrusion Detection System using RNN-LSTMs. Datasets include NSL-KDD and UNSW-NB15.☆35Updated 5 years ago
- CANShield: Deep Learning-Based Intrusion Detection Framework for Controller Area Networks at the Signal-Level☆19Updated 7 months ago
- Official repository for the paper "Problem space structural adversarial attacks for Network Intrusion Detection Systems based on Graph Ne…☆15Updated last year
- ☆20Updated 3 years ago
- PyTorch implementation of the paper "Privacy-preserving Few-shot Traffic Detection against Advanced Persistent Threats via Federated Meta…☆21Updated 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
- Here, we use RNN to deal with the network intrusion problem. The UNSW-NB15 dataset is used.☆75Updated 5 years ago
- A Deep Learning Based Intrusion Detection System for IIoT Networks☆12Updated last year
- Our implementations of the flow-based network intrusion detection model (for the COMNET paper)☆48Updated 5 years ago
- ☆11Updated 4 years ago
- ☆21Updated 5 years ago
- The pytorch implementation of E-GraphSAGE and E-ResGAT, two solutions for intrusion detection.☆77Updated 4 years ago
- Code for the paper "Anomaly-Based Intrusion Detection in IIoT Networks Using Transformer Models"☆34Updated 2 years ago
- This repository presents the implemetation of a highly optimized Deep Transfer Learning (DTL) and Genetic Algorithm (GA) based intrusion …☆22Updated 2 years ago
- An intrusion detection system model developed using CNN and Bi-LSTM.☆13Updated 3 years ago
- Code for the IEEE IoTJ paper "Semi-Supervised Federated Learning Based Intrusion Detection Method for Internet of Things"☆33Updated 3 years ago
- ☆53Updated 4 years ago
- convGRU based autoencoder for unsupervised & spatial-temporal anomaly detection in computer network (PCAP) traffic.☆18Updated last year
- An Intrusion Detection System based on Deep Belief Networks☆90Updated 3 years ago