Secure archiving system: Integrating object information with document images using mathematical coding techniques

Efficient digital archiving systems are indispensable for managing vast amounts of data, facilitating streamlined information retrieval, enabling remote data exchange, and ensuring robust data security. While existing techniques often introduce complexity and security concerns, necessitating larger storage spaces, this paper proposes a new and straightforward approach using mathematical coding to construct a secure archiving system. Our methodology prioritizes simplicity while maintaining robust security measures to archive higher education system information, particularly document images. The proposed system integrates three key domains: mathematical coding for security, image processing for high-quality image archiving, and archive system development. Specifically, information is encoded into a unique CODE using XOR coding for enhanced security and combined with student names to generate PDF file titles containing scanned documents. Additional security layers are implemented through password-protected PDF files. Benchmarking against other database types reveals that our approach yields a simple, secure system for HES records to be archived without requiring high storing abilities or security complexities. Our findings underscore the effectiveness of our methodology in achieving efficient digital archiving while maintaining data security.