Game Driven Secure Vault Access System

This publication presents a Game Driven Secure Vault Access System designed to protect sensitive digital files using multi-layer security mechanisms. The system combines game-based human verification, Deep Learning-based face authentication, time-based OTP validation, and Attribute-Based Encryption (ABE) to ensure secure and controlled access. Face detection is performed using the Haar Cascade algorithm, while identity verification is carried out using DeepFace integrated with Artificial Neural Networks (ANN). Files uploaded by the administrator are encrypted using Fernet cryptographic keys and ABE to maintain strong data confidentiality. The backend is developed using Python and Flask, with MySQL used for secure data storage and PHP for administrative management. The proposed solution enhances cybersecurity, prevents unauthorized access, and improves user interaction through gamified authentication, making it suitable for real-world secure vault and information security applications.