Boosting Data Communication: Studying Health Information Security Using Digital and IoT Technologies for Public Health

Abstract

The integration of Internet of Things (IoT) technologies in healthcare has revolutionized data management, yet challenges in data security and efficient communication persist. Existing solutions often struggle with balancing security and performance, particularly under varying conditions. To address these limitations, we propose a novel approach using Homomorphic Fuzzy Identity-Based Encryption (HFIE) to enhance both data security and communication efficiency in healthcare IoT systems. Our implementation includes a robust architecture that securely collects and transmits health data from sensor nodes to cloud storage, employing a three-tier user access system. HFIE combines homomorphic encryption for secure data processing and FIBE for flexible, error-tolerant access control. This combination addresses the limitations of traditional methods by providing enhanced privacy and performance. Evaluation metrics, including decryption time, energy consumption, and execution time, demonstrate the effectiveness of our approach. HFIE's ability to ensure secure and efficient data management in public health makes it a significant advancement in healthcare IoT technology.