mlopezm / Supervised-contrastive-learning-over-prototype-label-embeddings
Code for the paper: "Supervised contrastive learning over prototype-label embeddings for network intrusion detection"
☆14Updated 3 years ago
Alternatives and similar repositories for Supervised-contrastive-learning-over-prototype-label-embeddings:
Users that are interested in Supervised-contrastive-learning-over-prototype-label-embeddings are comparing it to the libraries listed below
- ☆19Updated 2 months ago
- Code for paper: Contrastive Learning Enhanced Intrusion Detection☆16Updated last year
- 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
- ☆11Updated last year
- Implementation of "ConFlow: Contrast Network Flow Improving Class-Imbalanced Learning in Network Intrusion Detection"☆13Updated 2 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
- Improving Transferability of Network Intrusion Detection in a Federated Learning Setup☆12Updated last year
- This repository presents the implemetation of a highly optimized Deep Transfer Learning (DTL) and Genetic Algorithm (GA) based intrusion …☆16Updated last year
- ☆21Updated 4 years ago
- Cyber-attack classification in the network traffic database using NSL-KDD dataset☆26Updated 4 years ago
- Repository for IEEE CCNC'21 paper titled "Edge-Detect: Edge-centric Network Intrusion Detection using Deep Neural Network".☆45Updated last year
- This is the source code of "Intrusion Detection of Industrial Internet-of-Things Based on Reconstructed Graph Neural Networks"☆11Updated last year
- ☆17Updated 4 years ago
- An intrusion detection system model developed using CNN and Bi-LSTM.☆12Updated 2 years ago
- Pytorch implementation of LuNet: A Deep Neural Network for Network Intrusion Detection☆52Updated 5 years ago
- A GAN-based model focused on anomaly detection in discrete dataset☆26Updated 5 years ago
- Correlation Aware DDoS Detection In IoT Systems☆9Updated last year
- This implementation for the paper: Learning Neural Representations for Network Anomaly Detection. If you have questions, please do not he…☆19Updated 5 years ago
- Generative adversarial networks for Network Intrusion Benchmark datasets☆35Updated 8 months ago
- NEGSC☆38Updated 10 months ago
- CANET: An Effective CNN-Attention Model for Network Intrusion Detection☆33Updated last year
- GAN / AUTOENCODER for network intrusion detection using NSL-KDD dataset: https://www.kaggle.com/datasets/hassan06/nslkdd☆17Updated last year
- Official repository for the paper "Problem space structural adversarial attacks for Network Intrusion Detection Systems based on Graph Ne…☆10Updated 8 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
- ☆24Updated last year
- A PyTorch implementation of of Anomal-E.☆33Updated 2 years ago
- A Few-shot Based Model-Agnostic Meta-Learning for Intrusion Detection in Security of Internet of Things☆12Updated last month
- ☆40Updated 2 years ago
- This project is an open-source project based on a GAN network anomaly detection.☆13Updated 8 months ago
- Code for the paper "Anomaly-Based Intrusion Detection in IIoT Networks Using Transformer Models"☆33Updated 2 years ago