Analysis of Cloud Computing Security Issues and Risks

International Journal of Machine Learning and Networked Collaborative Engineering

View Publication Info
 
 
Field Value
 
Title Analysis of Cloud Computing Security Issues and Risks
 
Creator Singh, Priyanka
Khari, Manju
 
Subject Cloud model
Security Issues
Security Risk
Secured methods
 
Description In the world of computer networking, cloud computing makes a technical shift of computing services being provided locally to being provided remotely by third party service providers. The data which was previously kept under control of users now under the control of service providers cloud computing brings many financial and functional benefits as well as serious security concerns that may threaten business continuity and corporate reputation. The definition of cloud computing is still blurry in a large part, because of the magnitude of the security risks and the virtually unlimited amount of information being published over the unsecure platform.
The purpose of this paper is to assess how security risk factors are affecting the existing and prospective cloud users’ cloud usage strategies. Are they simply betting that financial benefits will surpass security risks, or are they confident that cloud providers are capable of assuring an equal or higher level of security than on-premise systems?
This survey, through the examination of published materials and studies, analyzes existing issues along with available countermeasures in order to evaluate the overall assurance level of cloud security. The primary goal of the survey is to assess how security concerns have affected or will affect the respondents’ decision on adopting cloud and its services. This study includes basics of cloud computing by adding its characteristics, models and their categories. Analysis also embraced the existing security concerns faced by researchers and their imposed methodologies.
 
Publisher SR Informatics, New Delhi, India
 
Date 2020-05-12
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
 
Format application/pdf
 
Identifier http://www.mlnce.net/index.php/Home/article/view/118
 
Source International Journal of Machine Learning and Networked Collaborative Engineering; Vol. 3 No. 04 (2019): Volume No 03 Issue No 04; 182-192
2581-3242
 
Language eng
 
Relation http://www.mlnce.net/index.php/Home/article/view/118/69
 
Rights Copyright (c) 2020 International Journal of Machine Learning and Networked Collaborative Engineering
http://creativecommons.org/licenses/by-nc-nd/4.0
 

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