stefanDeveloper / heiFIP
heiFIP: A tool to convert network traffic into images for ML use cases
☆22Updated 7 months ago
Alternatives and similar repositories for heiFIP:
Users that are interested in heiFIP are comparing it to the libraries listed below
- Payload-Byte is a tool for extracting and labeling packet capture (Pcap) files of modern network intrusion detection datasets.☆36Updated 9 months ago
- 🛜→🖼️ Replication of the model set forth in "FlowPic: Encrypted Internet Traffic Classification is as Easy as Image Recognition" by Tal …☆14Updated 4 years ago
- Encrypted Network Traffic Classification using Deep Learning☆51Updated last year
- Classifying network traffic using machine learning approach☆22Updated 4 years ago
- T. Shapira and Y. Shavitt, "FlowPic: A Generic Representation for Encrypted Traffic Classification and Applications Identification," in I…☆79Updated 2 years ago
- ☆44Updated last year
- ☆24Updated last year
- ☆19Updated 3 years ago
- ☆58Updated 2 years ago
- A curation of awesome papers, datasets and tools about network traffic analysis.☆41Updated 5 months ago
- This platform is designed and implemented for encrypted traffic classification using deep learning☆13Updated last year
- FS-Net: A Flow Sequence Network For Encrypted Traffic Classification☆44Updated 4 years ago
- This forked repository contains our fixed version of the original CICFlowmeter tool. The improvements were implemented as part of our pap…☆43Updated 9 months ago
- ☆46Updated 4 months ago
- Code for “MaMPF: Encrypted Traffic Classification Based on Multi-Attribute Markov Probability Fingerprints”☆19Updated 4 years ago
- Self-attentive deep learning method for online traffic classification and its interpretability (CN21 & NetAI20)☆37Updated 9 months ago
- AAAI'25 Main Technical Track Paper: Revolutionizing Encrypted Traffic Classification with MH-Net: A Multi-View Heterogeneous Graph Model☆24Updated 3 months ago
- Code and dataset for AppScanner☆28Updated 7 years ago
- tcbench is a Machine Learning and Deep Learning framework to train model from traffic packet time series or other input representations.☆24Updated 4 months ago
- ☆48Updated 3 months ago
- The use of machine learning to classify network traffic☆37Updated 4 years ago
- Implementation of AppScanner☆41Updated 2 years ago
- One Train for Two Tasks: An Encrypted Traffic Classification Framework Using Supervised Contrastive Learning☆40Updated last year
- 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☆90Updated 2 years ago
- Code for the paper "Anomaly-Based Intrusion Detection in IIoT Networks Using Transformer Models"☆33Updated 2 years ago
- Network Traffic Classification with Graph Neural Networks☆9Updated last year
- ☆60Updated 4 months ago
- nPrintML creates and runs full ML-based traffic analysis pipelines using nPrint and AutoML.☆54Updated last year
- ☆19Updated 4 years ago
- Accurate Mobile-App Fingerprinting Using Flow-level Relationship with Graph Neural Networks☆19Updated 2 years ago