stefanDeveloper/heiFIP
heiFIP: A tool to convert network traffic into images for ML use cases
This tool helps network security researchers and data scientists convert raw network traffic captures into visual representations. It takes network packet capture files (.pcap) as input and generates images that highlight patterns in network flows or individual packets, which can then be used for training deep learning models. This is ideal for those studying network behavior, detecting anomalies, or classifying traffic types using machine learning.
No commits in the last 6 months. Available on PyPI.
Use this if you need to transform offline network packet data into standardized image formats for deep learning-based analysis, especially for tasks like malware detection or traffic classification.
Not ideal if you need to analyze live, real-time network traffic or if your primary analysis method does not involve machine learning with image-based inputs.
Stars
29
Forks
4
Language
C++
License
EUPL-1.2
Category
Last pushed
Jun 12, 2025
Commits (30d)
0
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