shrezaei / Semi-supervised-Learning-QUIC-
Implementation of "How to Achieve High Classification Accuracy with Just a Few Labels: A Semi-supervised Approach Using Sampled Packets"
☆31Updated 5 years ago
Related projects ⓘ
Alternatives and complementary repositories for Semi-supervised-Learning-QUIC-
- FS-Net: A Flow Sequence Network For Encrypted Traffic Classification☆44Updated 4 years ago
- Implementation of AppScanner☆40Updated 2 years ago
- Encrypted Network Traffic Classification using Deep Learning☆51Updated 7 months ago
- Code for “FS-Net: A Flow Sequence Network For Encrypted Traffic Classification”☆82Updated 4 years ago
- using 2d-cnn to classify network traffic☆20Updated 4 years ago
- Code for “MaMPF: Encrypted Traffic Classification Based on Multi-Attribute Markov Probability Fingerprints”☆19Updated 4 years ago
- Analysis of the ISCX VPN-nonVPN Dataset 2016 for Encrypted Network Traffic Classification☆76Updated 10 months ago
- Code for Intrusion Detection Systems and Encrypted Traffic Classification [No Further Updates]☆32Updated 3 years ago
- Self-attentive deep learning method for online traffic classification and its interpretability (CN21 & NetAI20)☆37Updated 4 months ago
- Traffic dataset USTC-TFC2016☆114Updated 5 years ago
- ☆19Updated last year
- ☆33Updated 7 months ago
- ☆56Updated last year
- The SJTU-AN21 dataset is an anonymity network dataset generated by ten anonymity services.☆10Updated last year
- T. Shapira and Y. Shavitt, "FlowPic: A Generic Representation for Encrypted Traffic Classification and Applications Identification," in I…☆73Updated 2 years ago
- Multitask Learning Approach for Network Traffic Classification☆53Updated 5 years ago
- 网络流量分类对比方法汇总☆144Updated last year
- Encrypted traffic classification use CNN☆33Updated 3 years ago
- It is a network traffic classifier based on deep learning.☆43Updated 8 months ago
- code implementation for paper: A Novel Multimodal Deep Learning Framework for Encrypted Traffic Classification☆39Updated last year
- Code and dataset for AppScanner☆28Updated 7 years ago
- ☆15Updated 4 years ago
- tcbench is a Machine Learning and Deep Learning framework to train model from traffic packet time series or other input representations.☆22Updated this week
- Materials about Encrypted Traffic Analysis☆97Updated this week
- Wang Wei's End-to-end encrypted traffic classification with one-dimensional convolution neural networks (scripts and article))☆28Updated 4 years ago
- cool project☆18Updated 3 years ago
- 🛜→🖼️ Replication of the model set forth in "FlowPic: Encrypted Internet Traffic Classification is as Easy as Image Recognition" by Tal …☆13Updated 3 years ago
- 多进程读取pcap,基于五元组分流并提取流量特征。结果输出为csv文件,用于机器学习中对加密流量进行分类☆79Updated 2 years ago
- using deep learning to classify the encrypted network traffic☆144Updated 3 years ago
- WWW'23 Research Paper: TFE-GNN: A Temporal Fusion Encoder Using Graph Neural Networks for Fine-grained Encrypted Traffic Classification☆65Updated 8 months ago