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A Comprehensive Survey on Security in Cloud Computing

Open access
Ramachandra, Gururaj, Iftikhar, Mohsin, Khan, Farrukh Aslam·2017·Procedia Computer Science

Abstract

According to a Forbes’ report published in 2015, cloud-based security spending is expected to increase by 42%. According to another research, the IT security expenditure had increased to 79.1% by 2015, showing an increase of more than 10% each year. International Data Corporation (IDC) in 2011 showed that 74.6% of enterprise customers ranked security as a major challenge. This paper summarizes a number of peer-reviewed articles on security threats in cloud computing and the preventive methods. The objective of our research is to understand the cloud components, security issues, and risks, along with emerging solutions that may potentially mitigate the vulnerabilities in the cloud. It is a commonly accepted fact that since 2008, cloud is a viable hosting platform; however, the perception with respect to security in the cloud is that it needs significant improvements to realise higher rates of adaption in the enterprise scale. As identified by another research, many of the issues confronting the cloud computing need to be resolved urgently. The industry has made significant advances in combatting threats to cloud computing, but there is more to be done to achieve a level of maturity that currently exists with traditional/on-premise hosting.

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Metadata

Authors
Ramachandra, G., Iftikhar, M., & Khan, F. A.
Venue
Procedia Computer Science
Publisher
Elsevier BV
Published
2017
Volume
110
Pages
465-472
ISSN
1877-0509 (ISSN-L)
OpenAlex
W2735248305
Cited by
174
References
0
FWCI
12.92
Type
conference paper
Language
en
Open access
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CoChat. (2026). Citation check: A Comprehensive Survey on Security in Cloud Computing. https://app.cochat.ai/papers/10.1016/j.procs.2017.06.124
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Ramachandra, G., Iftikhar, M., & Khan, F. A. (2017). A Comprehensive Survey on Security in Cloud Computing. Procedia Computer Science. https://doi.org/10.1016/j.procs.2017.06.124

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.