• KSII Transactions on Internet and Information Systems (TIIS)
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• 제7권4호
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• pp.860-877
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• 2013

Cloud computing has become one of the most important technologies for reducing cost and increasing productivity by efficiently using IT resources in various companies. The cloud computing system has mainly been built for private enterprise, but public institutions, such as governments and national institutes, also plans to introduce the system in Korea. Various researches have pointed to security problems as a critical factor to impede the vitalization of cloud computing services, but they only focus on the security threats and their correspondents for addressing the problems. There are no studies that analyze major security issues with regard to introducing the cloud computing system. Accordingly, it is necessary to research the security factors in the cloud computing given to public institutions when adopting cloud computing. This research focuses on the priority of security solutions for the stepwise adoption of cloud computing services in enterprise environments. The cloud computing security area is classified into managerial, physical and technical area in the research, and then derives the detailed factors in each security area. The research derives the influence of security priorities in each area on the importance of security issues according to the identification of workers in private enterprise and public institutions. Ordered probit models are used to analyze the influences and marginal effects of awareness for security importance in each area on the scale of security priority. The results show workers in public institutions regard the technical security as the highest importance, while physical and managerial security are considered as the critical security factors in private enterprise. In addition, the results show workers in public institutions and private enterprise have remarkable differences of awareness for cloud computing security. This research compared the difference in recognition for the security priority in three areas between workers in private enterprise, which use cloud computing services, and workers in public institutions that have never used the services. It contributes to the establishment of strategies, with respect to security, by providing guidelines to enterprise or institutions that want to introduce cloud computing systems.

• Journal of Biosystems Engineering
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• 제43권4호
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• pp.440-444
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• 2018

Purpose: Cloud-computing technology has several advantages, including maintenance, management, accessibility, and computing power. A greenhouse-control system utilizing these advantages was developed using a private cloud-computing system. Methods: A private cloud needs a collection of servers and a suite of software tools to monitor and control cloud-computing resources. In this study, a server farm, operated by OpenStack as a cloud platform, was constructed using servers, and other network devices. Results: The greenhouse-control system was developed according to the fundamental cloud service models: infrastructure as a service, platform as a service, and software as a service. This system has four additional advantages - security, control function, public data use, and data exchange. There are several considerations that must be addressed, such as service level agreement, data ownership, security, and the differences between users. Conclusions: When the advantages are utilized and the considerations are addressed, cloud-computing technology will be beneficial for agricultural use.

• 중소기업융합학회논문지
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• 제5권1호
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• pp.31-35
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• 2015

클라우드 컴퓨팅은 인터넷 기반 컴퓨팅 기술이다. 인터넷을 중심으로 서비스를 주고받는 형태이다. 비용이 절약되고, 쉬운 사용이 가능하기 때문에 많은 기업들이 이용하고 있는 추세이다. 클라우드의 형태로는 public cloud, private cloud, hybrid cloud가 있다. 서비스 모델에는 SaaS, PaaS, IaaS가 있다. 클라우드 컴퓨팅은 쉬운 사용이 가능한 만큼 보안 취약점을 가지고 있다. 특히 가상화와 정보집중화에 따른 취약점이 있다. 이를 극복하기 위해서는 새로운 보안 기술이 개발되어야한다. 또 다른 극복 방법은 보안 책임을 분명히 해야하고, 정책을 통일화 해야 한다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제13권12호
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• pp.6260-6276
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• 2019

With the rapid development of cloud computing, it raises real questions on privacy protection, which greatly limits the use of cloud computing. However, fully homomorphic encryption (FHE) can make cloud computing consistent with privacy. In this paper, we propose a simpler FHE scheme based on ring LWE problem, with a smaller size of ciphertext and a lower noise-expansion factor for homomorphic multiplication. Then based on our optimized RLWE-based FHE scheme, we propose a fast single-database private information retrieval protocol, combining with batching and number theoretic transform technology.

• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2013년도 추계학술발표대회
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• pp.169-171
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• 2013

Cloud computing provides access to big volumes of data and computational resources through various services. Cloud computing also supports to process these volumes of data using set of computers. Cloud computing can satisfy resource requirements through virtualization technology. Eucalyptus is an open source cloud computing environment helps the users to setup their own private cloud based on virtualization. In this paper, monitoring of virtual machines is explained with the eucalyptus cloud setup.

• 정보보호학회논문지
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• 제23권2호
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• pp.203-212
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• 2013

클라우드 컴퓨팅은 최근 IT 시장에서 가장 큰 성장을 보이고 있는 분야 중 하나로, 앞으로도 지속적으로 성장할 것으로 기대되고 있다. 특히, 최근에는 수많은 기업들이 비용 절감 및 효율 향상을 위해 사설 클라우드 컴퓨팅 서비스로 가상 데스크톱 환경을 도입하고 있다. 하지만 현재 이 분야에 대한 디지털 포렌식 조사 절차 및 방법은 학문적, 기술적으로 체계화되어 있지 않다. 이를 위해서는 클라우드 컴퓨팅 서비스 형태에 따라 법적 효력을 가질 수 있는 디지털 증거 수집 체계를 확립해야 한다. 본 논문에서는 사설 클라우드 서비스로 제공되는 가상 데스크톱 환경 및 전 세계적으로 가장 많이 사용되고 있는 데스크톱 가상화 솔루션(Citrix, VMware, Microsoft)에 대해 소개하고, 각 솔루션에 대한 디지털 포렌식 조사 절차 및 방법을 제안한다.

• 한국IT서비스학회지
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• 제17권3호
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• pp.37-51
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• 2018

Recently, cloud computing market is growing geometrically in both private and public area, and many global companies in various domains have developed and provided cloud computing services. In such situation, Korean government made multiple plans for domestic cloud computing industry. However, most research institutes have focused on market size and status information, which makes actual effectiveness of cloud computing service hard to recognize. In this study, we define cloud computing Industry by rearranging Input-Output table published by the Bank of Korea to use Input-Output Analysis. The Input-Output Analysis was devised in 1963 by Leontief and it is used in many fields of study until now. It produces various coefficients that are able to identify production-inducing effect, value-added effect, labor-inducing effect, front and rear chain effect. The analysis results show that production-inducing effect, front and rear chain effect of cloud computing industry is low compared to other industries. However, cloud computing Industry possesses relatively high value-added effect and labor-inducing effect. It is because industry magnitude of cloud computing is smaller than other industries such as manufacturing, chemical industries. The economic effects of the cloud computing industry are not remarkable, but this result is significant to emerging markets and industries and presents the fresh way of analyzing cloud computing research field.

• International Journal of Computer Science & Network Security
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• 제22권2호
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• pp.290-296
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• 2022

Big Data is a data analysis technology empowered by late advances in innovations and engineering. In any case, big data involves a colossal responsibility of equipment and handling assets, making reception expenses of big data innovation restrictive to little and medium estimated organizations. Cloud computing offers the guarantee of big data execution to little and medium measured organizations. Big Data preparing is performed through a programming worldview known as MapReduce. Normally, execution of the MapReduce worldview requires organized joined stockpiling and equal preparing. The computing needs of MapReduce writing computer programs are frequently past what little and medium measured business can submit. Cloud computing is on-request network admittance to computing assets, given by an external element. Normal arrangement models for cloud computing incorporate platform as a service (PaaS), software as a service (SaaS), framework as a service (IaaS), and equipment as a service (HaaS).

• 한국산업정보학회논문지
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• 제16권3호
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• pp.121-135
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• 2011

본 연구는 클라우드 컴퓨팅 서비스 투자 및 경제적 효과에 관련된 기술의 연구현황 및 사례들을 바탕으로 경제성 분석 모형을 제공한다. 플라우드 컴퓨팅 서비스가 기업에 가져올 수 있는 비용절감 만을 편익으로 계상함으로써 투자안들의 편익 및 비용을 보수적이며 효율적으로 파악할 수 있다. 기존 정보시스템을 대체할 논클라우드, 클라우드 방식의 투자안을 정태적인 NPV 분석방식 그리고 불확실성 및 전략적 옵션을 반영한 동태적인 실물옵션 분석 방식을 활용하여 비교하였다. 정태적인 NPV방식의 경제성 분석은 기업이 가진 전략적인 옵션의 가치를 제대로 평가하지 못하는 단점을 지적하고 있으며 실물옵션에 기반한 경제성 분석은 시장변수들과 기업이 전략적인 옵션이 클라우드 투자안들의 경제성에 미치는 영향을 함께 분석할 수 있다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제10권5호
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• pp.2394-2406
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• 2016

ABE has become an effective tool for data protection in cloud computing. However, since users possessing the same attributes share the same private keys, there exist some malicious users exposing their private keys deliberately for illegal data sharing without being detected, which will threaten the security of the cloud system. Such issues remain in many current ABE schemes since the private keys are rarely associated with any user specific identifiers. In order to achieve user accountability as well as provide key exposure protection, in this paper, we propose a key-insulated ciphertext policy attribute based encryption with key exposure accountability (KI-CPABE-KEA). In our scheme, data receiver can decrypt the ciphertext if the attributes he owns match with the self-centric policy which is set by the data owner. Besides, a unique identifier is embedded into each user's private key. If a malicious user exposes his private key for illegal data sharing, his identity can be exactly pinpointed by system manager. The key-insulation mechanism guarantees forward and backward security when key exposure happens as well as provides efficient key updating for users in the cloud system. The higher efficiency with proved security make our KI-CPABE-KEA more appropriate for secure data sharing in cloud computing.