• Convergence Security Journal
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• v.13 no.6
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• pp.17-24
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• 2013

Recently, the cloud computing technology is emerging as an important issue in the world, and In the technology and services has attracted much attention. However, the positive aspects of cloud computing unlike the includes several vulnerabilities. For this reason, the hacking techniques according to the evolution of a variety of attacks and damages is expected. Therefore, this paper will be analyzed through case studies and experiments to the security technology trends of the cloud computing. and In the future, this is expected to be utilized as a basis for the security system design and corresponding technology development.

• Journal of the Korea Convergence Society
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• v.13 no.5
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• pp.261-266
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• 2022

The full-fledged digital age derived from the fourth industrial revolution and the impact of COVID-19 lead to changes in various fields, including companies. In other words, the importance of cloud computing is being emphasized in the rapidly changing digital environment due to the rapid growth of the cloud market due to the rapid increase in digital services. The cloud may be one of the representative strategies for sustainable growth and survival in various fields as well as related industries. Although there have been a variety of studies on the cloud, the tendency of them has been not been adequately examined. This paper, therefore, analyzed the tendency of studies on the cloud computing. by using SCOPUS, the database of overseas academic journals using both R and LAD technique. The findings showed that many studies with high interest in the cloud computing have been conducted, the cloud computing were most often drawn from an analysis on key words. Moreover, various key words, including cloud, cloud and computing, data and computing were drawn, except for the theme of cloud computing. It is expected that could be used as a basic data, in that they provide the foundation for activating the related industries in terms of practice of the cloud computing.

• Journal of Information Processing Systems
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• v.12 no.3
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• pp.538-547
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• 2016

Cloud computing is a new style of computing in which dynamically scalable and reconfigurable resources are provided as a service over the internet. The MapReduce framework is currently the most dominant programming model in cloud computing. It is necessary to protect the integrity of MapReduce data processing services. Malicious workers, who can be divided into collusive workers and non-collusive workers, try to generate bad results in order to attack the cloud computing. So, figuring out how to efficiently detect the malicious workers has been very important, as existing solutions are not effective enough in defeating malicious behavior. In this paper, we propose a security protection framework to detect the malicious workers and ensure computation integrity in the map phase of MapReduce. Our simulation results show that our proposed security protection framework can efficiently detect both collusive and non-collusive workers and guarantee high computation accuracy.

• Journal of Digital Convergence
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• v.11 no.1
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• pp.441-446
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• 2013

It is expected to change for convergence robotic services according to emergence new communication technologies and cloud computing, etc. Robot industry is evaluated the biggest filed that is possibility to convergence of new IT technology. This paper presents a design framework for robot industry business model on cloud services through the cloud computing and environment of robot industry, features and provide valuable of cloud-based robot service, analysis of customer needs and value chain in the market in an aging society. In addition, we describe the evolution path of the proposed business model in terms of technology development and market. This study is expected to help that cloud and robot services companies when establishing new service model development and marketing strategy.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2011.05a
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• pp.277-280
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• 2011

After the concept of Cloud Computing was first introduced, IT industry had focused on it. The Cloud Computing market is increasing as many major coporations have been participating in it. Now, the possibility of Mobile Cloud Computing has rising. Needless to say, the growth of Mobile Cloud Computing is explosive. Mobile industry changes its operational system from FeaturePhone to SmartPhone which are based on iPhone or Android. The number of Smart phone users in Korea exceeds 10 millions. Through this study, we will examine sorts and acctual situations of available domestic and international Mobile Cloud Computing Services in SmartPhone. Also, we will investigate the problems of current Mobile Cloud Computing and present the solutions.

• International Journal of Contents
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• v.8 no.4
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• pp.12-20
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• 2012

For a library to be able provide information services and fulfill its function as a knowledge convergence center capable of responding to various information demands, the development of next-generation information systems based on the latest information and communication technology is needed. The development of mobile information services using portable devices such smart phones and tablet PCs and information systems which incorporate the concepts of cloud computing, SaaS (Software as a Service), annotation and Library2.0 is also required. This paper describes a library information system that utilizes collective intelligence and cloud computing. The information system developed for this study adopts the SaaS-based cloud computing service concept to cope with the shift in the mobile service paradigm in libraries and the explosion of electronic data. The strengths of such a conceptual model include the sharing of resources, support of multi-tenants, and the configuration and support of metadata. The user services are provided in the form of software on-demand. To test the performance of the developed system, the efficiency analysis and TTA certification test were conducted. The results of performance tests, It is encouraging that, at least up to 100MB, the job time is approximately linear and with only a moderate overhead of less than one second. The system also passed the level-3 or higher criteria in the certification test, which includes the SaaS maturity, performance and application program functions.

• Annual Conference of KIPS
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• 2017.04a
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• pp.637-640
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• 2017

최근 클라우드 기술이 확산되면서 여러 기업이 자신만의 클라우드를 다양하게 제공하고 있으며 세계 각지에 흩어져 있는 다양한 클라우드 공급자들과 여러 프라이빗 클라우드를 연결하여 하나의 서비스를 제공하는 클라우드 서비스 브로커리지(Cloud Services Brokerage) 기술이 등장하게 되었다. 하지만 현재의 CSB 기술은 가상 자원 관리, 가상 머신 라이프 사이클 관리에 초점이 맞추어져 있으며 CSB에서 제공되는 모니터링 요소는 사용자의 복잡한 요구를 만족하기에는 부족한 실정이다. 또한 추가 모니터링 도구를 사용하는 경우도 CSB의 데이터와의 일관성을 만족하지 않는 문제가 있다. 따라서 본 논문에서는 이종 CSB와 연동이 가능한 실시간 모니터링 시스템을 제안한다. 본 논문에서 제안하는 모니터링 기술은 Scalr 및 CompatibleOne을 사용하여 주기적으로 메타데이터 동기화를 진행하며 데이터 일관성을 충족시키고 다양한 모니터링 데이터를 실시간으로 수집하여 사용자에게 제공한다.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.34 no.2
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• pp.207-215
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• 2016

The demand for spatial data service technologies is increasing lately with the development of realistic 3D spatial information services and ICT (Information and Communication Technology). Research is being conducted on the real-time provision of spatial data services through a variety of mobile and Web-based contents. Big data or cloud computing can be presented as alternatives to the construction of spatial data for the effective use of large volumes of data. In this paper, the process of building HLM (Hyper Live Map) using multi-source data to acquire stereo CCTV and other various data is presented and a big data service architecture design is proposed for the use of flexible and scalable cloud computing to handle big data created by users through such media as social network services and black boxes. The provision of spatial data services in real time using big data and cloud computing will enable us to implement navigation systems, vehicle augmented reality, real-time 3D spatial information, and single picture based positioning above the single GPS level using low-cost image-based position recognition technology in the future. Furthermore, Big Data and Cloud Computing are also used for data collection and provision in U-City and Smart-City environment as well, and the big data service architecture will provide users with information in real time.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.13 no.9
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• pp.4742-4770
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• 2019

Cloud computing provides a broad range of services like operating systems, hardware, software and resources. Availability of these services encourages data owners to outsource their intensive computations and massive data to the cloud. However, considering the untrusted nature of cloud server, it is essential to encrypt the data before outsourcing it to the cloud. Unfortunately, this leads to a challenge when it comes to providing search functionality for encrypted data located in the cloud. To address this challenge, this paper presents a public key encryption with equality test for heterogeneous systems (PKE-ET-HS). The PKE-ET-HS scheme simulates certificateless public encryption with equality test (CLE-ET) with the identity-based encryption with equality test (IBE-ET). This scheme provides the authorized cloud server the right to actuate the equivalence of two messages having their encryptions performed under heterogeneous systems. Basing on the random oracle model, we construct the security of our proposed scheme under the bilinear Diffie-Hellman (BDH) assumption. Eventually, we evaluate the size of storage, computation complexities, and properties with other related works and illustrations indicate good performance from our scheme.

• Journal of Internet Computing and Services
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• v.15 no.1
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• pp.113-123
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• 2014

Many people expect remarkable growth in Cloud Computing industry because of it's effectiveness. But Cloud Computing industry is still at an early stage. Especially, people who in the public sector hesitate to adopt Cloud Computing Services due to security issues and their conservative views. Also, they just have limited understanding, so we need to investigate what they really know and understand. The purpose of this study is to propose Improvement plans on cloud-based smart work service of a quasi-governmental agency based on the view point of preference and tendency. To discover three types of cloud-based smart work issues and interpret theoretical definitions of those, we conducted a subjectivity analysis through qualitative methodology. At the result, the study draws three elements of typology: convenience type, concentration type, and collaboration type, and provides directions to strategic-policy studies for future cloud-based smart work services of quasi-governmental agency.