SuchetSanjeev/EncryptedTrafficAttackClassifierLLMs
This cybersecurity classifier integrates a lightweight LLM with a Random Forest model to analyze encrypted network traffic, achieving 90% accuracy across nine cyberattack categories. It delivers actionable threat intelligence through an intuitive Streamlit interface, enhancing security without compromising data privacy
26
/ 100
Experimental
No License
No Package
No Dependents
Maintenance
6 / 25
Adoption
1 / 25
Maturity
7 / 25
Community
12 / 25
Stars
1
Forks
1
Language
Python
License
—
Category
Last pushed
Oct 28, 2025
Commits (30d)
0
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