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Research Paper | Information Technology | Saudi Arabia | Volume 4 Issue 5, May 2015
A Novel and Integrated Assessment of Security Challenges in Cloud Computing
Mohd Muntjir | Mohd Rahul
Abstract: Cloud computing is a technology that uses the Internet and central remote servers to preserve data and applications in a system. It also allows patrons and enterprises to utilize applications without installation and access their individual files with accessing the Internet at any computer. It also allows for much more well organized computing by centralizing data storage, bandwidth and processing. Within the last few years, Cloud computing has progressed as an important prototype for IT enterprises along with inexpensive in costs, transaction according to makes use of, scalability, quick ease of access along with more elasticity. Utmost undersized, medium and huge scale companies, organizations are moving towards cloud computing as it eliminates setting up of high-investment on IT communications and other services like Paas, NaaSand SaaS. In this system, the client data can be accessible in all around the world, controlled and maintained outside their accessibility. Accordingly, there can be privacy and security issues with the client-s data. The services providers in cloud industry should convince their clients by ensuring and providing security to their accessible data. Hence, in this survey paper we present and examine different security and privacy issues obtainable in cloud computing. We have also discussed different security models top cloud service providers. Cloud computing system is consuming the globe, and each day is bringing innovative developments in this world.
Keywords: Cloud Computing, Virtualization, IaaS, PaaS, SaaS, VMs Virtual Machines, Multitenancy
Edition: Volume 4 Issue 5, May 2015,
Pages: 2115 - 2120
Similar Articles with Keyword 'Cloud Computing'
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Analysis Study Research Paper, Information Technology, United States of America, Volume 13 Issue 2, February 2024
Pages: 494 - 500Evolving Trends in Open-Source RDBMS: Performance, Scalability and Security Insights
Naresh Kumar Miryala
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Masters Thesis, Information Technology, Zimbabwe, Volume 11 Issue 2, February 2022
Pages: 133 - 136A Comparative Model for Predicting Customer Churn using Supervised Machine Learning
Muchatibaya Adrin | David Fadaralika