The project aims to develop a ransomware detection system that monitors files based on trust metrics. It identifies unusual or malicious activity, prevents unauthorized encryption of critical files, and ensures data security and system integrity by alerting users to potential ransomware threats in real-time.
Research ransomware behaviors, attack patterns, and common infection vectors.
Design and implement a trust-based file monitoring system to categorize files based on criticality and access patterns.
Develop algorithms to detect abnormal file modifications or encryption indicative of ransomware activity.
Implement real-time alerts to notify users of suspicious behavior or potential ransomware attacks.
Integrate file protection mechanisms such as restricted access or automatic backups for high-trust files.
Maintain detailed logs of monitored file activities for auditing and post-incident analysis.
Test the system under simulated ransomware attacks to evaluate detection accuracy and response time.
Develop a user-friendly interface to display alerts, monitored files, and trust metrics.
Deploy the application in a controlled environment to demonstrate ransomware detection and file protection effectiveness.
