This project focuses on developing a behavior-based malware detection system that monitors system processes and identifies malicious activities. Instead of relying on signatures, the system detects abnormal behaviors such as unauthorized file modifications or suspicious process executions.
Study system process management and operating system behavior monitoring.
Research behavioral characteristics of common malware.
Design a process monitoring module that tracks running applications.
Identify suspicious behaviors such as rapid file encryption or registry modification.
Implement anomaly detection logic based on predefined thresholds.
Log suspicious activities with timestamps and process details.
Generate alerts for abnormal behavior patterns.
Create visualization tools to monitor live system activities.
Test the system using simulated malware behavior.
Evaluate false positive and false negative rates and document findings.
