Security Log Analysis Project

This project analyzes network traffic data to detect malicious activity using the UNSW-NB15 dataset.

Tools

• Python (pandas, seaborn, matplotlib)
• Scikit-learn (RandomForest)

Key Features

• Log and network traffic analysis
• Data preprocessing and feature engineering
• Machine learning classification (attack vs normal)

Results

The model successfully identifies patterns of malicious activity in network traffic data.