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This study explores the use of distributed ledger technologies, such as blockchain, to enhance security in cloud-based financial transactions. By integrating decentralized ledger systems, the approach ensures transparency, immutability, and reduces the risk of fraud, fostering trust and efficiency in digital financial services.
Lucas Benjamin Harris, Chloe Isabel Morgan, Joshua Daniel Brooks, Ethan James Scott, Zoey Rose Hughes
Paper ID: 72119301 | ✅ Access Request |
This paper introduces an AI-based security framework for detecting and mitigating threats in real-time cloud computing environments. Using machine learning models, the system identifies potential security breaches and unauthorized access attempts, ensuring the integrity and safety of sensitive data and applications in the cloud.
Madeline Claire Davis, Henry Michael Wright, Emma Elizabeth Carter, Daniel Alexander Reed, Sarah Olivia King
Paper ID: 72119302 | ✅ Access Request |
This paper discusses the integration of machine learning algorithms into cloud-based health information systems. By leveraging predictive analytics, the system enhances decision-making, identifies health risks, and improves patient care, ensuring better resource allocation and timely interventions in healthcare management.
Alexander Edward Green, Samuel Jacob Cooper, Grace Isabella Brooks, Lucas Thomas Miller, Emily Victoria Allen
Paper ID: 72119303 | ✅ Access Request |
This research presents a deep reinforcement learning approach for dynamic resource allocation in cloud computing environments. The model efficiently allocates resources based on real-time demand and supply, ensuring optimal performance and cost-efficiency for cloud service providers, while improving overall system utilization and scalability.
Oliver Benjamin Lewis, Alice Maria White, Samuel James Wilson, Ava Rose Harris, Lucas William Turner
Paper ID: 72119304 | ✅ Access Request |
This paper explores the integration of IoT and cloud computing technologies to provide smart city solutions. It discusses how cloud-based systems can handle vast amounts of data generated by IoT devices, facilitating better urban planning, resource management, and enhancing citizen engagement through real-time analytics.
Benjamin Jacob Scott, Victoria Elizabeth Harris, Charlotte Olivia Mitchell, Andrew Michael Foster, Isabella Ruth Carter
Paper ID: 72119305 | ✅ Access Request |
This article investigates the evolving cybersecurity threats faced by cloud computing platforms. It explores various protection mechanisms such as encryption, multi-factor authentication, and intrusion detection systems, offering insights into safeguarding sensitive data and ensuring data integrity in cloud environments.
Daniel Thomas James, Olivia Margaret Wilson, Samuel Alexander Clark, Emily Jane Parker, Michael Christopher Evans
Paper ID: 72119306 | ✅ Access Request |
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