Pacos NetInsight

Pacos NetInsight is an AI-powered network anomaly detection dashboard built in Python and Streamlit. It monitors network traffic logs, detects suspicious activity using machine learning, assigns risk levels, and provides interactive visualizations in real-time.

Live Demo

Check out the live app here: Pacos NetInsight

Features

• Network Log Analysis: Reads network traffic logs from CSV files.
• Anomaly Detection: Uses IsolationForest to detect suspicious activity.
• Risk Assessment: Assigns HIGH, MEDIUM, or LOW risk levels based on packet size, failed logins, and ports.
• Interactive Dashboard: Streamlit-based dashboard with:
  • Summary statistics
  • Suspicious activity table
  • Traffic visualization over time
• Real-time Deployment: Updates automatically on GitHub push using Streamlit Cloud.

Installation / Running Locally

1. Clone the repository:

git clone https://github.com/KLIIRTY/PacosNetInsight.git
cd PacosNetInsight
python -m venv venv
source venv/bin/activate   # Mac/Linux
venv\Scripts\activate      # Windows
pip install -r requirements.txt
pip install -r requirements.txt
streamlit run src/app.py

NetPacos/
├── data/                   # Sample network logs
│   └── network_log.csv
├── src/
│   ├── app.py              # Streamlit dashboard
│   ├── parser.py           # Network log parser
│   ├── features.py         # Feature engineering
│   └── model.py            # Anomaly detection logic
├── requirements.txt        # Python dependencies
└── README.md

Tech Stack used

Python 3.12

pandas, numpy

scikit-learn (IsolationForest)

matplotlib

Streamlit for the dashboard and deployment on Streamlit Cloud
Deployment

Deployed on Streamlit Cloud.