Please use this identifier to cite or link to this item: http://dspace2020.uniten.edu.my:8080/handle/123456789/21623
Title: Literature review of authentication layer for public cloud computing: A meta-analysis
Authors: Eldow A.
Shakir M.
Talab M.A.
Muttar A.K.
Tawafak R.M.
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Issue Date: 2019
Abstract: Cloud computing is a8rapidly growing technology due to its8highly flexible uses and applications. It also has other features such as8simplicity, quick data access and reduced8data storage costs. Consequently, it has been widely used8by many organizations. This widespread use of cloud computing among8organizations causes many security issues. Moreover, cloud computing layers8are likely to be jeopardized8by many security risks such as privileged8user access, data location, data segregation, and data8recovery. This paper aims to prepare8an ample debate of a literature review-based studies that provided important insights to researchers in the scope of security cloud computing. The researcher applied a relevant8set of keywords. These keywords are limited8to the title, abstract and keywords search archives published between 2010 and June 2018. The database search returned a total of 308 publications. In addition, we conducted backward-forward searches from the reference lists of relevant, quality previous works on the security framework in public cloud computing studies. Then, the researcher filtered the publications to only full text access articles that were written in English only. Finally, this study obtained a many publication. The findings of this paper address many important points such as in this study is recommended to apply behavior recognition with password for improving authentication layer performance in cloud computing. This study finds most of current studies neglected the present of human factor in password-based authentication, and learnability in password-based authentication is highly weak. Despite this, very few studies have adopted the behavior recognition with password in public cloud. © 2005 – ongoing JATIT & LLS.
URI: http://dspace2020.uniten.edu.my:8080/handle/123456789/21623
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