{"data":{"full_name":"SuchetSanjeev/EncryptedTrafficAttackClassifierLLMs","name":"EncryptedTrafficAttackClassifierLLMs","description":"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","stars":1.0,"forks":1.0,"language":"Python","license":null,"archived":0.0,"subcategory":"ai-security-training-labs","last_pushed_at":"2025-10-28T12:38:40+00:00","pypi_package":null,"npm_package":null,"downloads_monthly":0.0,"dependency_count":0.0,"commits_30d":null,"reverse_dep_count":0.0,"maintenance_score":6.0,"adoption_score":1.0,"maturity_score":1.0,"community_score":12.0,"quality_score":20.0,"quality_tier":"experimental","risk_flags":"['no_license', 'no_package', 'no_dependents']"},"meta":{"timestamp":"2026-04-09T11:53:13.609534+00:00"}}