Enhancing Healthcare Cloud Security with a Comprehensive Analysis for Authentication

Abstract

This research presents a robust cloud-based healthcare security framework that integrates Multi-Factor
Authentication (MFA) and Secure Multi-Party Computation (SMPC) to safeguard sensitive patient data. The
framework ensures data privacy, secure access control, and encryption for electronic health records (EHRs) stored
in the cloud. The proposed system is evaluated based on authentication time, encryption/decryption performance,
and computational overhead. Experimental results indicate that encryption time ranges from 0.5ms to 5.8ms as
data size increases from 10 KB to 1 MB, with decryption following a similar pattern. Additionally, computational
overhead increases by approximately 18% with each additional authentication factor, reinforcing security without
significantly compromising efficiency. The integration of MFA ensures that unauthorized access is effectively
minimized, while SMPC enhances privacy by enabling secure data computations without exposing sensitive
information. This approach demonstrates a significant improvement in balancing security and system
performance, making it a viable solution for real-time healthcare applications. Future enhancements may focus
on optimizing encryption techniques and reducing computational complexity to further improve efficiency. This
research contributes to the ongoing development of secure and scalable cloud-based healthcare solutions, offering
a practical approach to addressing security challenges in modern healthcare data management.