A Python package to decode network traffic metadata from image representations (reverse of Net2i).
Project description
i2Net
i2Net is a Python tool that decodes network metadata from image representations. It acts as the reverse pipeline of Net2i, which encodes network traffic data into images.
This utility is ideal for reconstructing IP addresses, MAC addresses, and other network metadata from images produced by Net2i.
🔁 Purpose
i2Net = Image → Network data (CSV)
Net2i = Network data → Image
📦 Requirements
Install dependencies:
pip install numpy pillow
Project details
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distributions
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file i2net-0.1.0-py3-none-any.whl.
File metadata
- Download URL: i2net-0.1.0-py3-none-any.whl
- Upload date:
- Size: 3.8 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.12.2
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
6d2fdf18c1716d13e6292ef78f502e4cd536abf197903275cbc7b9e981618350
|
|
| MD5 |
ab0814010f9a55b4f2a5834ae42f0a7f
|
|
| BLAKE2b-256 |
fd02ffe625d1ccbea7a3ab770dde2df5ae780f5d0e7f6269c8129c19d6c056d6
|