Enhancing Sustainability in Secure Mobile Cloud Data and Blockchain Integration with FaaS for Healthcare
International journal of intelligent engineering and systems · 2025
Integrating mobile cloud data in healthcare has transformed real-time health monitoring, telemedicine, and personalized care.However, this rapid adoption raises critical challenges, including data privacy, security, and sustainable cloud resource management.Centralized cloud computing models face issues like data breaches, high latency, and energy inefficiency, especially with the increasing use of mobile devices in healthcare.Addressing these concerns requires a shift towards decentralized, efficient, and privacy-preserving frameworks.This study proposes a Federated Learning and Blockchain Integration (FL-BC-I) framework with Function-as-a-Service (FaaS) to address these challenges.The framework supports decentralized training of healthcare models on mobile devices, reducing the transmission of sensitive data to centralized servers.BC ensures transparent, secure data management, while FaaS enhances resource allocation and energy efficiency through event-driven architecture.FL-BC-I is designed to handle intermittent network connectivity, ensuring low-latency data processing for real-time healthcare services.By leveraging microservices in FaaS, the framework promotes scalability and sustainability while protecting patient privacy through FL.The framework exceeds earlier models such as MES, IoT-H-GCT, and BCT with increases in privacy protection (98.61%), data security (97%), real-time data processing (95.28%), and energy efficiency (94%).