This paper explores cloud-based healthcare solutions focused on ensuring data security and scalability. By implementing end-to-end encryption and scalable storage, the system guarantees patient data confidentiality while supporting large-scale healthcare operations and seamless data sharing across medical platforms.

William Thomas Robinson, Mary Claire Davis, Michael Steven Harris, Abigail Ruth Wilson, Peter Joseph Green

This study examines how cloud infrastructure can be leveraged for the sustainable development of smart cities. By integrating IoT sensors, data analytics, and cloud computing, the framework supports efficient urban planning, energy management, and traffic optimization, contributing to sustainability in urban environments.

David Charles Parker, Emily Victoria Mitchell, Joseph Edward Brown, Anna Lily Cooper, John Harrison Clark

This paper explores the integration of blockchain and cloud computing to enhance cybersecurity in financial institutions. By using decentralized ledgers and smart contracts, the system ensures secure transactions, improves transparency, and mitigates the risks of cyberattacks in financial networks and online banking systems.

James William Roberts, Olivia Sophia Mitchell, Charles Nathaniel Turner, Grace Charlotte Baker, William Alexander Harris

This research presents an IoT and cloud-based healthcare monitoring system designed for elderly care. The system collects real-time health data from wearable devices and securely transmits it to the cloud for analysis, enabling remote monitoring and timely intervention in case of emergencies.

Daniel Christopher Turner, Alice Margaret Lee, Nathan Andrew Cook, Isabella Margaret Clark, John Patrick Thomas

This paper investigates the integration of IoT technologies and cloud computing for smart city infrastructure monitoring. By deploying smart sensors, real-time data from urban assets like roads, bridges, and utilities is captured and processed, allowing for efficient maintenance and optimization of urban services.

Matthew John Martin, Elizabeth Rose White, Samuel Nicholas Green, Clara Helen Scott, Michael James Smith

This research focuses on data-driven load balancing techniques for cloud systems operating in multi-tenant environments. By leveraging historical usage data and predictive algorithms, this approach optimizes resource distribution, reducing latency and ensuring high performance and scalability across all tenants in a cloud platform.

Charlotte Victoria Peterson, Jacob Oliver Stewart, Natalie Grace Walker, Christopher Andrew Harris, James Thomas Carter

This paper examines the integration of blockchain technology with distributed cloud computing to ensure secure data sharing and storage. By utilizing blockchain’s decentralized nature, the model enhances data integrity, transparency, and access control in cloud-based storage solutions used by enterprises and individuals.

Henry Alexander Ford, Emily Claire Cooper, Daniel Richard Bell, Mia Isabelle Phillips, Olivia Marie Hughes

This research proposes an AI-driven framework to enhance cloud security and real-time threat detection. The model uses machine learning algorithms to analyze patterns, detect anomalies, and mitigate risks associated with cyber threats in cloud computing environments, ensuring data protection and minimizing downtime.

Michael Samuel Gray, Elizabeth Jane Clark, Samuel Thomas Miller, Clara Louise Evans, Benjamin David Walker