Signature-Based Malware Detection System Using File Hashing Techniques

The objective of this project is to develop a signature-based malware detection system that identifies malicious files using hash values and predefined signatures. The system compares file fingerprints against a malware signature database to detect known threats efficiently.

Study cryptographic hashing algorithms such as MD5 and SHA-256.

Understand the working principle of signature-based antivirus systems.

Create a database of known malware hash signatures.

Design a system that calculates hash values of scanned files.

Compare generated hashes with stored malicious signatures.

Implement alert mechanisms for detected malware files.

Provide options for file quarantine or deletion.

Develop a user-friendly interface for scanning directories.

Test the system with both malicious and clean files.

Document system performance, strengths, and limitations regarding zero-day attacks.