This project aims to develop an Android malware detection system by analyzing application permissions and behavioral patterns. The system identifies potentially malicious applications by detecting suspicious permission requests and abnormal usage patterns.
Study Android application architecture and permission models.
Research common Android malware behaviors and excessive permission usage.
Collect datasets of benign and malicious Android applications.
Extract permission-related features from application manifest files.
Analyze patterns of dangerous permission combinations.
Implement classification algorithms to detect malicious apps.
Develop a simple interface allowing APK file uploads for analysis.
Generate reports highlighting suspicious permission requests.
Evaluate model performance using standard metrics.
Test system robustness against newly introduced applications.
Document findings and propose improvements for real-world deployment.
