munhouiani/Deep-Packet
Pytorch implementation of deep packet: a novel approach for encrypted traffic classification using deep learning
This project helps network security analysts and researchers identify the type of application or traffic flowing through an encrypted network. It takes raw network packet capture files (PCAP) as input, processes them, and then classifies the encrypted traffic into categories like chat, VoIP, streaming, or file transfer. This allows network defenders to better understand network activity and detect anomalous or malicious patterns within encrypted data streams.
250 stars. No commits in the last 6 months.
Use this if you need to classify encrypted network traffic to understand application usage or detect anomalies within your network infrastructure.
Not ideal if you need a plug-and-play solution for real-time traffic monitoring without requiring a development setup.
Stars
250
Forks
60
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Mar 01, 2023
Commits (30d)
0
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