• Journal of Convergence for Information Technology
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• v.8 no.3
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• pp.63-69
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• 2018

Recently, healthcare services are using cloud services to efficiently manage users' healthcare data. However, research to ensure the stability of the user's healthcare data processed in the cloud environment is insufficient. In this paper, we propose a partial random encryption scheme that efficiently encrypts healthcare data in a cloud environment. The proposed scheme generates two random keys (p, q) generated by the user to optimize for the hospital medical service and reflects them in public key and private key generation. The random key used in the proposed scheme improves the efficiency of user 's healthcare data processing by encrypting only part of the data without encrypting the whole data. As a result of the performance evaluation, the proposed method showed 21.6% lower than the existing method and 18.5% improved the user healthcare data processing time in the hospital.

• Journal of the Korea Convergence Society
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• v.10 no.12
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• pp.23-28
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• 2019

Cloud services are services developed to serve a wider variety of users in different fields. However, although cloud services are designed to reflect the needs of different users, a variety of security damages resulting from them are increasing and technologies are needed to address them. This paper proposes a user signature management model that prevents third parties from exploiting the user's signature in a heterogeneous cloud The proposed model strengthens the functionality of the intermediate devices that make up the hierarchical cloud while also managing the signature information of the partitioned user. As a result of the performance assessment, the proposed model not only distributed user signature management, but also improved efficiency by 8.5% on average because intermediate devices distributed user signature processing, and reduced the user's signature latency by 13.3% on average when performing user authentication processing. On average, the overhead generated by intermediate devices processing a user's signature was 10.1 percent lower than that of conventional techniques.

• Information Systems Review
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• v.21 no.4
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• pp.47-68
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• 2019

As cloud services and deployment models become diverse, there are a growing number of cloud computing selection options. Therefore, financial companies need a methodology to select the appropriated cloud for each financial computing system. This study adopted the Balanced Scorecard (BSC) framework to classify factors for the introduction of cloud computing in financial companies. Using Analytic Hierarchy Process (AHP), the evaluation items are layered into the performance perspective and the cloud consideration factor and a comprehensive decision model is proposed. To verify the proposed research model, a system of financial company is divided into three: account, information, and channel system, and the result of decision making by both financial business experts and technology experts from two financial companies were collected. The result shows that some common factors are important in all systems, but most of the factors considered are very different from system to system. We expect that our methodology contributes to the spread of cloud computing adoption.

• Proceedings of the Korea Information Processing Society Conference
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• 2012.11a
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• pp.133-136
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• 2012

오픈소스 클라우드 플랫폼 중에서 Openstack을 기반으로 Rackspace 사가 발표한 Alamo 배포본을 설치해보고 이를 실제 정보서비스 환경에 이용할 경우를 가정하여 정성적으로 평가해 보았다.

• Journal of Software Assessment and Valuation
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• v.17 no.1
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• pp.51-58
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• 2021

Microservices are not only developed independently, but can also be run and deployed independently, ensuring more flexible scaling and efficient collaboration in a cloud computing environment. This impact has led to a surge in migrating to microservices-oriented application environments in recent years. In order to introduce microservices, the problem of identifying microservice units in a single application built with a single architecture must first be solved. In this paper, we propose an algorithm-based approach to identify microservices from legacy systems. A graph is generated using the meta-information of the legacy code, and a microservice candidate is extracted by applying a clustering algorithm. Modularization quality is evaluated using metrics for the extracted microservice candidates. In addition, in order to validate the proposed method, candidate services are derived using codes of open software that are widely used for benchmarking, and the level of modularity is evaluated using metrics. It can be identified as a smaller unit of microservice, and as a result, the module quality has improved.

• Journal of Digital Convergence
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• v.19 no.9
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• pp.75-81
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• 2021

The purpose of this research is to derive and evaluate priorities for critical factors that must be determined before an enterprise adopts a cloud computing service. AHP analysis techniques were used to reflect decisions made by experts as research methods. AHP is a decision-making technique that expresses complex decision-making problems hierarchically and derives the best alternatives through pairwise comparison between the items of the hierarchy. Compared to the existing statistical decision making techniques, the decision making process is systematic and simple, making it easy to understand. In addition, the procedure is also reasonable by providing an indicator to determine the consistency of the decision maker in the analysis process. The analysis results of this research showed that security was the first priority, reliability was the second priority, and economic efficiency was the third priority. Among the factors in the first-priority security items, the access control rights and the safety factors of external threats are the most important factors. Research results can be used as a guideline in future practice, and it is necessary to evaluate, compare and analyze the satisfaction of companies that have adopted cloud computing services in the future.

• Journal of Digital Convergence
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• v.11 no.2
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• pp.317-322
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• 2013

Mobile cloud environment is recently becoming popular due to Internet access through various environments. Driven by computer performance improvement and service development, the demand for mobile cloud is increasing and accordingly the damage is on the rise. Therefore, it needs to conduct a study on problems of security necessary in large database that occurs in mobile cloud services. Although various security solutions limiting database access, security strategies about new user environments should be analyzed. This study analyzes weakness of safe data access through database management in mobile cloud environment and examines security requirements for safe data management. In addition, this study looks into threatening factors of security in cloud services and then draws security requirements about safer access control. A study on system application and evaluation of security requirements about access control is required.

• Journal of Digital Convergence
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• v.13 no.2
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• pp.115-120
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• 2015

As the cloud services, the underlying technology of the digital convergence environment, have been widely adopted in the business, personal information protection has been recognized as one of the major issues to resolve. When cloud services are used to process the personal information, the personal information protection law speculates the establishment of a contract or service level agreement(SLA). This research presents 7 privacy indicators and 13 metrics which can be included in cloud SLA, based on the analysis of related regulation and standards and the SMART(Specific, Measurable, Action-oriented, Relevant and Timely) model. The proposed indicators are examined using the Focus Group Interview method in terms of materiality and feasibility. The results show that all the proposed indicators are meaningful and useful.

• Proceedings of the Korea Information Processing Society Conference
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• 2013.11a
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• pp.197-200
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• 2013

클라우드 컴퓨팅 환경에서는 가상화된 자원 인스턴스를 할당받아 응용을 처리할 때 적절한 서비스질을 만족하면서도 자원 운용 비용을 최소화하는 것이 중요한 이슈로 연구되고 있다. 그리드 환경과는 달리 클라우드 환경에서는 모든 가상 자원 인스턴스는 작업의 처리시간이 아닌 고정된 자원 할당 시간을 기준으로 가격이 책정되므로 기존의 그리드 환경을 고려한 자원 스케쥴링 기법은 클라우드 환경에서는 부적절한 자원 낭비를 발생시킬 수 있다. 이러한 문제를 해결하기 위해 본 논문에서는 클라우드 가격 정책을 고려한 휴리스틱 기반의 자원 스케쥴링 기법을 제안하고 이를 워크플로우 응용에 적용시키고자 한다. 제안된 기법의 성능 평가를 위하여 Montage 프로젝트를 워크플로우 응용으로 채택하였고 이를 Openstack 기반 클라우드 플랫폼을 기반으로 실험을 수행하였다.

• Journal of the Korean Association of Geographic Information Studies
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• v.21 no.4
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• pp.1-13
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• 2018

Both Platform as a Service (PaaS) as one of the cloud computing service models and the e-government (e-Gov) standard framework from the Ministry of the Interior and Safety (MOIS) provide developers with practical computing environments to build their applications in every web-based services. Web application developers in the geo-spatial information field can utilize and deploy many middleware software or common functions provided by either the cloud-based service or the e-Gov standard framework. However, there are few studies for their applicability and performance in the field of actual geo-spatial information application yet. Therefore, the motivation of this study was to investigate the relevance of these technologies or platform. The applicability of these computing environments and the performance evaluation were performed after a test application deployment of the spatial image processing case service using Web Processing Service (WPS) 2.0 on the e-Gov standard framework. This system was a test service supported by a cloud environment of Cloud Foundry, one of open source PaaS cloud platforms. Using these components, the performance of the test system in two cases of 300 and 500 threads was assessed through a comparison test with two kinds of service: a service case for only the PaaS and that on the e-Gov on the PaaS. The performance measurements were based on the recording of response time with respect to users' requests during 3,600 seconds. According to the experimental results, all the test cases of the e-Gov on PaaS considered showed a greater performance. It is expected that the e-Gov standard framework on the PaaS cloud would be important factors to build the web-based spatial information service, especially in public sectors.