mlopezm / Supervised-contrastive-learning-over-prototype-label-embeddings
Code for the paper: "Supervised contrastive learning over prototype-label embeddings for network intrusion detection"
☆15Updated 3 years ago
Related projects ⓘ
Alternatives and complementary repositories for Supervised-contrastive-learning-over-prototype-label-embeddings
- ☆19Updated last year
- ☆10Updated 10 months ago
- Code for paper: Contrastive Learning Enhanced Intrusion Detection☆15Updated last year
- Implementation of "ConFlow: Contrast Network Flow Improving Class-Imbalanced Learning in Network Intrusion Detection"☆14Updated 2 years ago
- A Few-shot Based Model-Agnostic Meta-Learning for Intrusion Detection in Security of Internet of Things☆10Updated last year
- A GAN-based model focused on anomaly detection in discrete dataset☆24Updated 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…☆10Updated 2 years ago
- This implementation for the paper: Learning Neural Representations for Network Anomaly Detection. If you have questions, please do not he…☆18Updated 5 years ago
- ☆9Updated last year
- ☆34Updated 2 years ago
- Cyber-attack classification in the network traffic database using NSL-KDD dataset☆23Updated 4 years ago
- This repository is the PyTorch implementation of GAN Ensemble for Anomaly Detection.☆39Updated 3 years ago
- ☆20Updated 4 years ago
- Generative adversarial networks for Network Intrusion Benchmark datasets☆28Updated 3 months ago
- Our implementations of the flow-based network intrusion detection model (for the COMNET paper)☆42Updated 4 years ago
- GAN / AUTOENCODER for network intrusion detection using NSL-KDD dataset: https://www.kaggle.com/datasets/hassan06/nslkdd☆13Updated last year
- A study on Deep Learning and Graph Neural Network for Intrusion Detection and Prevention (CNN, VAE, GNN,...)☆9Updated last year
- Enhancing Robustness Against Adversarial Examples in Network Intrusion Detection Systems☆16Updated 3 years ago
- Repository for IEEE CCNC'21 paper titled "Edge-Detect: Edge-centric Network Intrusion Detection using Deep Neural Network".☆42Updated last year
- Pytorch implementation of LuNet: A Deep Neural Network for Network Intrusion Detection☆53Updated 4 years ago
- ☆14Updated 4 years ago
- A PyTorch implementation of of Anomal-E.☆30Updated last year
- Intrusion Detection System using Deep Reinforcement Learning and Generative Adversarial Networks☆40Updated last month
- Development of a transfer learning system for the detection of cyber-attacks in 5G and IoT networks. Transfer learning will improve the a…☆13Updated 2 years ago
- Here, we use RNN to deal with the network intrusion problem. The UNSW-NB15 dataset is used.☆65Updated 4 years ago
- An intrusion detection system model developed using CNN and Bi-LSTM.☆12Updated 2 years ago
- This repository presents the implemetation of a highly optimized Deep Transfer Learning (DTL) and Genetic Algorithm (GA) based intrusion …☆12Updated 11 months ago
- This is the source code of "Intrusion Detection of Industrial Internet-of-Things Based on Reconstructed Graph Neural Networks"☆11Updated 9 months ago
- Code Snippet used to convert CSV dataset into Images in IEEE Published Article: IoT DoS and DDoS Attack Detection using ResNet☆12Updated 3 years ago