Malware Detection System Using Sandbox-Based Dynamic Analysis Techniques

This project aims to design a sandbox-based malware detection system that safely executes suspicious files in an isolated environment. The system observes runtime behavior to detect malware actions without risking harm to the host system.

Study virtualization and sandboxing concepts in cybersecurity.

Research malware evasion techniques targeting sandboxes.

Design an isolated execution environment for suspicious files.

Monitor runtime behaviors such as file creation, registry access, and network connections.

Collect behavioral logs for analysis.

Implement rule-based detection for malicious behavior patterns.

Generate behavioral reports summarizing observed actions.

Compare results with static analysis detection methods.

Test sandbox reliability using diverse malware samples.

Analyze performance overhead and evasion challenges.

Document ethical and safety considerations.