XAIseries / LEXNetLinks
LEXNet: A Lightweight, Efficient and Explainable-by-Design Convolutional Neural Network for Internet Traffic Classification
☆17Updated 2 years ago
Alternatives and similar repositories for LEXNet
Users that are interested in LEXNet are comparing it to the libraries listed below
Sorting:
- ☆26Updated last year
- The repository of FastTraffic, A lightweight method for encrypted traffic fast classification.☆20Updated 8 months ago
- ☆19Updated 4 years ago
- tcbench is a Machine Learning and Deep Learning framework to train model from traffic packet time series or other input representations.☆30Updated 8 months ago
- This platform is designed and implemented for encrypted traffic classification using deep learning☆15Updated last year
- ☆14Updated last year
- code implementation for paper: A Novel Multimodal Deep Learning Framework for Encrypted Traffic Classification☆55Updated 2 years ago
- [WWW'23] TFE-GNN: A Temporal Fusion Encoder Using Graph Neural Networks for Fine-grained Encrypted Traffic Classification☆100Updated 8 months ago
- A PyTorch implementation of of Anomal-E.☆34Updated 2 years ago
- 论文Encrypted Traffic Classification with One-dimensional Convolution Neural Networks的torch实现☆39Updated 2 years ago
- Official repository for the paper "Problem space structural adversarial attacks for Network Intrusion Detection Systems based on Graph Ne…☆14Updated last year
- Encrypted Network Traffic Classification using Deep Learning☆55Updated last year
- A PyTorch implementation of of E-GraphSAGE.☆90Updated 3 years ago
- ☆16Updated 2 years ago
- NEGSC☆38Updated last year
- Repository for IEEE CCNC'21 paper titled "Edge-Detect: Edge-centric Network Intrusion Detection using Deep Neural Network".☆46Updated 2 years ago
- This is the source code of "Intrusion Detection of Industrial Internet-of-Things Based on Reconstructed Graph Neural Networks"☆11Updated last year
- ☆49Updated 3 years 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
- using 2d-cnn to classify network traffic☆21Updated 5 years ago
- Implementation of a multi-task model for encrypted network traffic classification based on transformer and 1D-CNN.☆36Updated last year
- One Train for Two Tasks: An Encrypted Traffic Classification Framework Using Supervised Contrastive Learning☆45Updated last year
- Improving Transferability of Network Intrusion Detection in a Federated Learning Setup☆12Updated last year
- Source code for the paper: Adaptive Clustering-based Malicious Traffic Classification at the Network Edge (https://homepages.inf.ed.ac.uk…☆37Updated 4 years ago
- ☆65Updated 9 months ago
- Accurate Mobile-App Fingerprinting Using Flow-level Relationship with Graph Neural Networks☆26Updated 3 years ago
- CANET: An Effective CNN-Attention Model for Network Intrusion Detection☆35Updated 2 years ago
- ☆58Updated 2 years ago
- ☆88Updated last year
- Code for Intrusion Detection Systems and Encrypted Traffic Classification [No Further Updates]☆42Updated 4 years ago