This paper presents an AI-based anomaly detection system for distributed sensor networks. Using machine learning techniques, the system identifies unusual behavior, enhances security, and enables real-time response to cyber threats, ensuring the integrity and safety of critical infrastructure in IoT-based environments.

Benjamin Charles Harris, Emily Jean Matthews, Samuel David Bennett, Olivia Sophia White, Alexander Robert Carter

This research proposes an optimized architecture that integrates distributed cloud services with edge computing for real-time data processing. The model reduces latency, enhances computational efficiency, and supports scalable applications, making it ideal for industries requiring high performance and low-latency data handling.

Michael Daniel Thomas, Sophia Grace Miller, Noah Alexander Roberts, Ava Lily Walker, Jack Joseph Turner

This paper explores the integration of blockchain technology with IoT systems for secure communication in cloud environments. The protocol ensures end-to-end encryption, decentralization, and data integrity, mitigating vulnerabilities in IoT networks and enhancing trust in cloud-based applications.

Christopher James Walker, Lily Olivia Peterson, William Henry Anderson, Grace Julia Simmons, Daniel Nathaniel Davis

This research examines the use of cloud computing for real-time predictive analytics in healthcare systems. The proposed model leverages cloud infrastructure to analyze patient data, providing timely insights into potential health risks and enabling early interventions, improving overall healthcare outcomes.

Lucas Nathaniel Evans, Lily Mae Richardson, Jack Christian Lee, Emma Grace Thomas, Sophia Ava Carter

This paper presents an edge computing model integrated into cloud environments to improve IoT device interoperability and scalability. The proposed solution ensures seamless communication across devices, reduces latency, and provides a scalable architecture to support millions of devices in IoT networks.

Ava Sophia Harrison, Benjamin Michael Clark, Mia Grace Johnson, Henry Alexander Evans, Chloe Olivia Walker

This research focuses on cloud-native security solutions for protecting distributed IoT systems in real-time. The proposed model integrates advanced security protocols with cloud services, enhancing system resilience and providing immediate responses to cyber threats, ensuring the integrity of connected devices.

Grace Maria Johnson, William Alexander Harris, James Ryan Clark, Chloe Isabelle Robinson, Oliver Ethan Green

This paper presents a reinforcement learning-based approach for efficient resource allocation in multi-tenant cloud platforms. By dynamically adjusting resource allocation strategies based on workload demands, the model optimizes performance and reduces operational costs, ensuring scalability in cloud environments with multiple tenants.

William Henry Anderson, Amelia Lily Parker, Oliver James Brown, Benjamin Thomas Scott, Emily Clara Harris