• Journal of the Korea Academia-Industrial cooperation Society
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• v.13 no.6
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• pp.2729-2738
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• 2012

The purpose of this study is, to analyze the recent trend of studies on SaaS(Software as a Service) in Korea and to suggest a direction for the future research. For this purpose, the relevant literatures published in Korea Citation Index and literatures presented in conferences were gathered. Among these literatures, total of 39 samples were selected and used in the systematic literature review. The result shows that the application of SaaS in actual operations of industries are widely proliferated. However, the studies on SaaS generally lacks in its number and types. For example, studies so far are only on field of engineering and technology. Considering the fact that SaaS is moving towards the service orientation, studies on SaaS should develop in the fields of policy, business, individual and society sides of studies. In addition, the existing studies uses different concepts of relations between SaaS and ASP(Application Service Provider), as well as, different definitions of SaaS. Lastly, our research analyzed the problems of utilization of SaaS and found that, the quality, performance and security are presented as the core of the problems.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.25 no.5
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• pp.1245-1255
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• 2015

As cloud computing services become popular, the concern on the data security of cloud services increases and the efforts for the data security become essential. In this paper, we describe the pros and cons of cloud computing including the definition of cloud. Then, we discuss the regulations about the protection of user data defined in cloud promotion act. Previous studies related to the privacy protection and the entrustment of personal information in cloud computing are reviewed. We examine how to store the personal information depending on the cloud service model. As a result, we argue that the entrustment of personal information should vary according to the cloud service model and we propose how to protect the personal information on IaaS and SaaS cloud service models.