This paper proposes an advanced data encryption and security model for the integration of IoT devices with cloud computing in smart healthcare systems. It introduces innovative techniques to ensure privacy and integrity of healthcare data, addressing the challenges of remote patient monitoring and management.

Michael Ethan Roberts, Olivia Grace Thompson, Lucas Nathaniel White, Sophia Marie Walker, Mason Daniel Clark

This study explores the role of artificial intelligence in predicting natural disasters through the use of big data analytics in smart cities. It examines how AI models can analyze environmental data to predict and mitigate the impacts of disasters, improving urban safety and resilience.

Ella Grace Martin, Noah Michael Davis, Benjamin James Harris, Amelia Rose Anderson, Carter Lucas Mitchell

This paper discusses the integration of big data analytics and cloud computing in the development of real-time healthcare monitoring systems within smart cities. The study focuses on the challenges and solutions in delivering timely healthcare interventions by analyzing real-time data from various IoT-enabled devices.

Charlotte Isabelle Taylor, Alexander Noah Carter, Sophia Rebecca Green, Emma Lily King, Ethan Jacob Williams

This research paper focuses on the optimization of resource management and load balancing techniques in cloud-enabled IoT applications. By improving resource allocation, the proposed approach enhances the efficiency and scalability of IoT solutions, addressing the challenges faced by large-scale cloud-based systems.

Jacob Matthew Scott, Lily Sofia Brown, Henry Nathaniel Lee, Scarlett Rose Thompson, Gabriel Elias Adams

This study explores the application of blockchain technology to enhance the security of data in cloud-based IoT applications. It investigates the use of blockchain's decentralized nature to safeguard sensitive data, ensuring privacy and integrity in connected devices and cloud environments.

Oliver Benjamin Carter, Mia Caroline Clark, William Michael Davis, Charlotte Lucy Edwards, Ava Lily Foster

This paper presents an AI-driven cloud-based surveillance system for enhancing public safety in smart cities. The system utilizes machine learning algorithms to analyze real-time video streams, detecting unusual activities and potential threats, ensuring timely responses to maintain urban security.

Daniel Ethan Miller, Amelia Grace Harris, Lucas Alexander Roberts, Olivia Sophia Thomas, William Benjamin Wilson

This study explores secure cloud storage solutions for IoT data in smart cities, focusing on the use of blockchain technology to secure sensitive data. The paper highlights how decentralized data storage can enhance privacy, ensure data integrity, and provide tamper-proof storage mechanisms for connected devices.

Charlotte Emily Johnson, Lucas Matthew Garcia, Elizabeth Rose Harris, Samuel Thomas Miller, Ava Lily Evans