Generate Dataset

Cybersecurity Anomaly Detection System

Real-time monitoring with ML models and interactive dashboards

🇬🇧 English | 🇮🇹 Italiano

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🇬🇧 English

Overview

Advanced cybersecurity anomaly detection system with real-time monitoring, machine learning models, and interactive dashboards. Generate HTTP logs datasets for Kaggle competitions.

Features

• Anomaly Detection - ML-powered detection of security threats
• Real-Time Monitoring - Live dashboard for security events
• Dataset Generation - Create synthetic cybersecurity datasets
• Interactive Dashboards - Streamlit-based visualizations
• HTTP Log Analysis - Parse and analyze web server logs

Quick Start

git clone https://github.com/fracabu/generate-dataset.git
cd generate-dataset
pip install -r requirements.txt
streamlit run app.py

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🇮🇹 Italiano

Panoramica

Sistema avanzato di rilevamento anomalie per cybersecurity con monitoraggio in tempo reale, modelli di machine learning e dashboard interattive. Genera dataset di log HTTP per competizioni Kaggle.

Funzionalita

• Rilevamento Anomalie - Rilevamento minacce con ML
• Monitoraggio Real-Time - Dashboard live per eventi sicurezza
• Generazione Dataset - Crea dataset cybersecurity sintetici
• Dashboard Interattive - Visualizzazioni basate su Streamlit
• Analisi Log HTTP - Parsing e analisi log web server

Avvio Rapido

git clone https://github.com/fracabu/generate-dataset.git
cd generate-dataset
pip install -r requirements.txt
streamlit run app.py

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Tech Stack

• Python, Streamlit
• Pandas, Scikit-learn
• Plotly

License

MIT

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