Project Overview
Malware Analyze | AI - Cybersecurity - Python
OVERVIEW: The IEEE Computer Society Student Branch at Balqa Applied University - Faculty of Technology and Engineering (BAU - FET) presents a practical project on malware analysis using a lightweight, Python-trained machine learning model. This initiative equips CS students with hands-on skills to detect malicious files through static and dynamic feature analysis, strengthening the bridge between academic theory and real-world cybersecurity.
OBJECTIVES:
- Develop and train a simple, interpretable Python-based ML model to classify malware using file features, fostering practical learning in cybersecurity and data science.
- Deliver an open-source, user-friendly tool for BAU - FET students to analyze malware samples, visualize results, and understand model performance in real detection scenarios.
TOOLS: PYTHON - OpenCV - Tkinter
