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A newer version of the Streamlit SDK is available:
1.44.1
metadata
title: Intrusion Detection Dashboard
emoji: 🛡️
colorFrom: indigo
colorTo: blue
sdk: streamlit
sdk_version: 1.31.1
app_file: app.py
pinned: false
This is a machine learning Streamlit app that predicts potential cyberattacks based on real-time session characteristics like IP reputation, login attempts, and encryption type.
It uses a LightGBM classifier trained on a labeled intrusion detection dataset. The model prioritizes recall to minimize undetected attacks and is deployed via a Hugging Face API.
- 📊 Explore session data trends
- 🔍 Predict intrusions in real time
- 🤖 Model: LightGBM with threshold = 0.2