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
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Language
Python
License
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Last pushed
Oct 28, 2025
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