Machine Learning and Deep Learning Based Approach to Secure Cloud Computing Paradigm

Registration ID: IJNRD_220294

Published ID: IJNRD2404892

DOI: Click Here to Get

SANGEETA DEVI , MUNISH SARAN , PRANJAL MAURYA , RAJAN KUMAR YADAV , UPENDRA NATH TRIPATHI

Cloud computing, machine learning, deep learning, data encryption etc.

In this paper we explains the relationship between machine learning (ML) and cloud computing (CC), emphasizing the problems, opportunities, and solutions. It displays the ways that cloud computing (CC) has changed the Internet service industry as well as the financial effects with data collection and analysis. In particular, security concerns in distributed models are discussed, and edge computing—a cloud computing (CC) variant meant for data that must be processed quickly—is introduced. The distribution of rights, data encryption, and the transfer of data accountability from providers of services to end users are all covered in this essay. The paper addresses security concerns with integrity, availability, and threat identity by dissecting cloud computing across service and delivery architectures. It proposes machine learning (ML) methods as a remedy for data quality control and security. The difficulties in integrating Cloud Computing (CC) and machine learning (ML), such as data interchange latency, scalability optimization, model deployment, management of resources, data security and monitoring, are highlighted in this study. A strategy for educating businesses about cloud computing (CC) and machine learning (ML) is offered. The final section of the summary emphasizes how cloud computing (CC) and deep learning, as well as machine learning (ML) are evolving to influence computing and analytics in the future and increase an organization's competitiveness in the digital era

Published Paper   E-Certificate

SANGEETA DEVI, MUNISH SARAN, PRANJAL MAURYA, RAJAN KUMAR YADAV, & UPENDRA NATH TRIPATHI (April-2024). Machine Learning and Deep Learning Based Approach to Secure Cloud Computing Paradigm. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 9(4), i832-i840. https://ijnrd.org/papers/IJNRD2404892.pdf

Volume 9 Issue 4, April-2024

Pages : i832-i840

Paper Reg. ID: IJNRD_220294

Published Paper Id: IJNRD2404892

Downloads: 000121989

Research Area: Computer Science & Technology 

Country: GORAKHPUR, UTTAR PRADESH, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2404892.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2404892

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

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Call For Paper - Volume 10 | Issue 10 | October 2025

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