This paper explores cloud-native security solutions for IoT devices within healthcare systems. By leveraging distributed security protocols, this approach ensures the protection of sensitive medical data while enabling secure device interconnectivity, real-time monitoring, and seamless integration with cloud-based healthcare platforms.

Adam William Scott, Emily Anne Garcia, Lucas Joshua Taylor, Benjamin Michael Harris, Sophia Claire Baker

This paper discusses the implementation of blockchain technology in cloud storage management to enhance security, transparency, and data integrity. Blockchain's decentralized ledger system ensures tamper-proof storage, providing users with a secure environment for storing and sharing sensitive data across cloud platforms.

Charlotte Isabelle Williams, Liam Christopher Moore, Olivia Harper Thompson, Sophia Emily Carter, Lucas Benjamin Lee

This paper presents an AI-driven cloud automation system designed to optimize resource management in large-scale data centers. By applying machine learning algorithms for workload prediction and resource allocation, the system significantly reduces operational costs while improving the efficiency and performance of cloud services.

Jack Samuel Harris, Victoria Claire Mitchell, Thomas Alexander Carter, Isabella Grace Moore, William James Taylor

This paper investigates scalable cloud-native data lakes designed to support advanced analytics and machine learning in enterprises. By leveraging the cloud's elastic computing power and distributed storage, data lakes enable seamless integration of massive datasets for AI-driven insights across various industries.

Oliver Daniel Parker, Lily Grace Clark, Ethan Jacob Lewis, Sophie Elizabeth Anderson, Benjamin Luke Thompson

This paper explores cloud computing-based disaster recovery systems designed for critical infrastructure sectors, such as healthcare, finance, and energy. By leveraging cloud technologies for backup, replication, and failover processes, the system ensures business continuity and minimizes the risk of data loss during catastrophic events.

Olivia Emily Johnson, Jacob Liam Roberts, William Ethan Harris, Isabella Scarlett Walker, Henry Andrew Brooks

This research examines the optimization of data storage systems in cloud computing environments, focusing on strategies for enhancing the efficiency and speed of big data analytics. Techniques for improving data retrieval, storage allocation, and resource utilization are discussed, aiming to improve the overall performance of cloud-based analytics platforms.

Andrew Richard Williams, Elizabeth Anne Clark, Patrick Robert Scott, Victoria Jane Harris, William James Baker

This study discusses methods for enhancing cloud-based security protocols to protect sensitive health data from cyber threats. It focuses on the implementation of encryption, multi-factor authentication, and real-time threat monitoring techniques to ensure that health data remains secure and compliant with privacy regulations.

James Theodore Miller, Sarah Marie Johnson, Lucas Daniel Martinez, Emily Anne Reed, Alexander John Davis