This project focuses on developing a cloud-based malware detection system that integrates threat intelligence feeds. The system scans files in the cloud and updates its detection capabilities dynamically using external threat databases.
Study cloud computing fundamentals and service deployment models.
Understand threat intelligence feeds and their importance in cybersecurity.
Design a cloud-based file upload and scanning system.
Implement file scanning using signature or machine learning techniques.
Integrate simulated threat intelligence updates into the system.
Automate periodic database updates for new malware signatures.
Develop secure storage and authentication mechanisms.
Create dashboards for monitoring scan results.
Test system scalability with multiple concurrent users.
Evaluate performance and latency of cloud deployment.
Document security and privacy considerations.
