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Articles


⏩ Volume 19, Issue No.6, 2021 (SNCC)
A Secure and Scalable Cloud Architecture for Real-Time Data Processing in Smart Cities

This paper discusses the design of a secure and scalable cloud architecture for real-time data processing in smart cities. The framework supports efficient handling of sensor data, ensuring secure data transmission, storage, and analysis for urban planning and public safety initiatives.

John Edward Thompson, Jessica Anne Lee, Michael Christopher Harris, Laura Katherine Hill, Mark Robert Young

Paper ID: 62119601 		✅ Access Request

Optimizing Cloud Storage Solutions for High-Volume Data in Healthcare Systems

This research focuses on optimizing cloud storage solutions for handling high-volume medical data in healthcare systems. By utilizing data compression techniques and automated backup strategies, the system ensures efficient storage management, scalability, and high availability, improving healthcare data accessibility and security.

Matthew James Morgan, Emily Laura Wright, Daniel Michael Scott, Sarah Isabelle Green, Thomas Edward Anderson

Paper ID: 62119602 		✅ Access Request

Leveraging Cloud Computing for Secure and Scalable E-Health Platforms

This study explores how cloud computing can be leveraged for secure and scalable e-health platforms. By utilizing encryption and multi-factor authentication, the platform ensures patient privacy while enabling scalability for healthcare organizations, improving patient care, and optimizing resource utilization.

Christopher David Rogers, Helen Mary Walker, Benjamin Thomas Green, Victoria Ruth Harris, James William Parker

Paper ID: 62119603 		✅ Access Request

Advanced Cloud-Based Solutions for IoT Security in Smart Homes

This paper investigates advanced cloud-based solutions for securing the Internet of Things (IoT) in smart homes. By integrating blockchain and artificial intelligence, the solution enhances device authentication, data integrity, and privacy, offering a secure ecosystem for users in smart environments.

Alexander George Smith, Mia Catherine Brown, Noah Thomas Williams, Olivia Grace Johnson, Lucas Robert Evans

Paper ID: 62119604 		✅ Access Request

Cloud Computing for Disaster Management: Real-Time Data and Decision Making

This paper presents a cloud computing-based framework for real-time data processing and decision-making in disaster management. By collecting and analyzing real-time data from multiple sources, the system supports timely and effective responses to natural disasters, optimizing emergency services and resource allocation.

Jessica Sophie Martin, Liam James Walker, Hannah Grace White, William James Brown, Ava Michelle Green

Paper ID: 62119605 		✅ Access Request

Cloud-Native Security Solutions for IoT Devices in Healthcare Systems

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

Paper ID: 62119606 		✅ Access Request

Leveraging Blockchain for Secure and Transparent Cloud Storage Management

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

Paper ID: 62119607 		✅ Access Request

AI-Driven Cloud Automation for Resource Management in Large-Scale Data Centers

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

Paper ID: 62119608 		✅ Access Request

Scalable Cloud-Native Data Lakes for Advanced Analytics and Machine Learning

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

Paper ID: 62119609 		✅ Access Request

Cloud Computing-Based Disaster Recovery Systems for Critical Infrastructure

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

Paper ID: 62119610 		✅ Access Request

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