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CLOUD COMPUTING: ARCHITECTURES, SECURITY CHALLENGES, AND APPLICATIONS

Authors: computer science, Vikash Bagariya; computer science, Rishit Kmar; computer science, Mudit Gautam; computer science, Lokesh kumawat;

CLOUD COMPUTING: ARCHITECTURES, SECURITY CHALLENGES, AND APPLICATIONS

Abstract

This research paper presents a comprehensive study of cloud computing, focusing on its architectures, service and deployment models, security challenges, and real-world applications. The paper explores core cloud service models—Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS)—along with deployment strategies such as public, private, hybrid, and community clouds. It examines enabling technologies including virtualization, containerization, and container orchestration (Docker and Kubernetes), highlighting their impact on scalability, performance, and isolation. A significant emphasis is placed on cloud security, covering threats such as data breaches, misconfigurations, insecure APIs, identity and access management issues, and multi-tenancy risks. Modern security approaches like Zero Trust Architecture, DevSecOps, cloud security automation, API security, and container security are discussed in detail. To demonstrate practical implementation, the paper proposes a serverless cloud-based automated receipt/document processing architecture using AWS services such as S3, Lambda, Textract, DynamoDB, SES, and CloudWatch. The architecture is evaluated in terms of performance, cost, scalability, and security. Finally, the paper identifies emerging research directions including multi-cloud orchestration, quantum-resistant cryptography, privacy-preserving computation, sustainable cloud computing, and automated security management, emphasizing the need for resilient and secure cloud systems in future computing environments.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green