renj-xu / NEGSC
NEGSC
☆33Updated 8 months ago
Alternatives and similar repositories for NEGSC:
Users that are interested in NEGSC are comparing it to the libraries listed below
- A PyTorch implementation of of Anomal-E.☆31Updated 2 years ago
- Official repository for the paper "Problem space structural adversarial attacks for Network Intrusion Detection Systems based on Graph Ne…☆10Updated 6 months ago
- ☆18Updated last year
- ☆43Updated 3 years ago
- A PyTorch implementation of of E-GraphSAGE.☆80Updated 2 years ago
- The pytorch implementation of E-GraphSAGE and E-ResGAT, two solutions for intrusion detection.☆68Updated 3 years ago
- code repository for the the paper "Encrypted Network Traffic Classification with Higher Order Graph Neural Network"☆27Updated 7 months ago
- One Train for Two Tasks: An Encrypted Traffic Classification Framework Using Supervised Contrastive Learning☆37Updated 11 months ago
- ☆24Updated last year
- WWW'23 Research Paper: TFE-GNN: A Temporal Fusion Encoder Using Graph Neural Networks for Fine-grained Encrypted Traffic Classification☆75Updated last month
- ☆15Updated 7 months ago
- Encrypted Network Traffic Classification using Deep Learning☆51Updated 10 months ago
- ☆19Updated 2 years ago
- ☆37Updated 2 years ago
- Network System Intrusion Detection using Graph Neural Networks☆13Updated last year
- This is the source code of "Intrusion Detection of Industrial Internet-of-Things Based on Reconstructed Graph Neural Networks"☆11Updated last year
- This platform is designed and implemented for encrypted traffic classification using deep learning☆12Updated last year
- ☆11Updated 3 years ago
- 基于动态图神经网络的异常流量检测方法☆38Updated last year
- Code for paper: Contrastive Learning Enhanced Intrusion Detection☆16Updated last year
- An Intrusion Detection System based on Deep Belief Networks☆80Updated 2 years ago
- A study on Deep Learning and Graph Neural Network for Intrusion Detection and Prevention (CNN, VAE, GNN,...)☆9Updated 2 years ago
- Implementation of "ConFlow: Contrast Network Flow Improving Class-Imbalanced Learning in Network Intrusion Detection"☆14Updated 2 years ago
- ☆10Updated last year
- Repository for IEEE CCNC'21 paper titled "Edge-Detect: Edge-centric Network Intrusion Detection using Deep Neural Network".☆45Updated last year
- ☆18Updated 2 years ago
- Anomaly based Instrusion Detection System using RNN-LSTMs. Datasets include NSL-KDD and UNSW-NB15.☆31Updated 4 years ago
- CANET: An Effective CNN-Attention Model for Network Intrusion Detection☆30Updated last year
- An intrusion detection system model developed using CNN and Bi-LSTM.☆12Updated 2 years ago
- LEXNet: A Lightweight, Efficient and Explainable-by-Design Convolutional Neural Network for Internet Traffic Classification☆11Updated last year