• Proceedings of the Korea Information Processing Society Conference
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• 2013.11a
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• pp.804-807
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• 2013

최근 클라우드 컴퓨팅에 대한 관심이 고조됨에 따라, 이를 활용한 데이터베이스 아웃소싱(Outsourcing)에 대한 연구가 활발히 진행되고 있다. 그러나 아웃소싱 된 데이터베이스는 사용자 개인 정보, 증권, 또는 의료 정보 등 민감한 정보를 포함하기 때문에 서비스 제공자로부터 수행한 질의 결과 데이터가 데이터 소유자로부터 생성된 데이터이며, 정확한 질의 결과를 포함하는지 확인하기 위한 질의 결과 무결성 검증 기법의 필요성이 대두되었다. 기존 질의 결과 무결성 검증 기법은 질의 결과에 포함되는 무결성 검증 데이터의 크기가 증가하여 검증 데이터 전송 오버헤드 증가 및 데이터 노출 위험 증가 문제를 지닌다. 따라서, 본 논문에서는 데이터 보호를 지원하는 암호화 데이터 기반 질의 결과 무결성 검증 기법을 제안한다. 제안하는 질의 결과 무결성 검증 기법은 암호화된 데이터 그룹을 주기 함수를 이용하여 재분할하고, 최종 데이터 그룹 id를 힐버트 커브를 통해 변환한다. 따라서, 검증 데이터 오버헤드를 감소시켜 효율적인 질의 처리를 지원하며, 그룹 id 변경을 통해 검증 데이터 유출 위험을 방지한다. 성능평가를 통해, 제안하는 기법이 기존 기법에 비해 질의 처리 시간 측면에서 평균 2배, 검증 데이터 오버헤드 측면에서 최대 20배의 성능을 개선함을 보인다.

• Journal of information and communication convergence engineering
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• v.9 no.5
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• pp.577-582
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• 2011

EMR(Electronic Medical Record) is an emerging technology that is highly-blended between non-IT and IT area. One of methodology to link non-IT and IT area is to construct databases. Nowadays, it supports before and after-treatment for patients and should satisfy all stakeholders such as practitioners, nurses, researchers, administrators and financial department and so on. In accordance with the database maintenance, DAS (Data as Service) model is one solution for outsourcing. However, there are some scalability and strategy issues when we need to plan to use DAS model properly. We constructed three kinds of databases such as plain-text, MS built-in encryption which is in-house model and custom AES (Advanced Encryption Standard) - DAS model scaling from 5K to 2560K records. To perform custom AES-DAS better, we also devised Bucket Index using Bloom Filter. The simulation showed the response times arithmetically increased in the beginning but after a certain threshold, exponentially increased in the end. In conclusion, if the database model is close to in-house model, then vendor technology is a good way to perform and get query response times in a consistent manner. If the model is DAS model, it is easy to outsource the database, however, some technique like Bucket Index enhances its utilization. To get faster query response times, designing database such as consideration of the field type is also important. This study suggests cloud computing would be a next DAS model to satisfy the scalability and the security issues.

• Proceedings of the Korea Database Society Conference
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• 2008.05a
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• pp.253-261
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• 2008

Many SME have difficulties in marketing activities from early product and technology development because of lack of internal marketing abilities. This paper presents the strategy for the public information service providing so that the marketing oriented information system should provide appropriate information in every step of production from raw material procurement, processing, outsourcing, sales to collaboration. A prototype of marketing information system is implemented in terms of product information, market information, technology information and enterprise information.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.25 no.6B
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• pp.1143-1152
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• 2000

As being various user telephone number after entry of new telecommunication enterprise, management of systematic Directory Assistance Service is required. Also through providing competition of Directory Assistances Service, enhancement of Service quality and development of new Service are induced. In this study, there is researched the overall view of present Directory Assistance Service in priority Korean Telecom and the oversea's Directory Assistance Service for U.S.A, England, Australia, Japan. As result of study, we want to suggest the appointment of unified Directory Database Management Company and outsourcing of Directory Assistance Service to that company but in reality, there may be other idea also with regard to various circumstances.

• Information Systems Review
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• v.8 no.3
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• pp.175-200
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• 2006

Application service provider(ASP) model is emerging as a new form of application outsourcing. ASP model may be attractive for small companies and even some medium-sized companies because these companies lack appropriate resources and technical expertise to develop and operate their information system. However, studies of ASP model have so far been neglected. Service quality is argued to be a crucial success factor for ASP, but yet there is not an empirically validated instrument for measuring ASP service quality. Therefore, this paper aims to develop and test a model for measuring ASP service quality. In order to accomplish these, SERVQUAL that has developed in marketing area were adapted to the context of this study. The research sample was designed by randomly selecting 300 different companies from the database that listed up the small companies participating in "ASP based e-business project for small enterprises". 240 usable responses were received by interview. The results are that reliability and tangibility impact user performances and satisfaction more than any of the service quality dimensions.

• Journal of Information Processing Systems
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• v.14 no.5
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• pp.1087-1101
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• 2018

As cloud computing has become a widespread technology, malicious attackers can obtain the private information of users that has leaked from the service provider in the outsourced databases. To resolve the problem, it is necessary to encrypt the database prior to outsourcing it to the service provider. However, the most existing data encryption schemes cannot process a query without decrypting the encrypted databases. Moreover, because the amount of the data is large, it takes too much time to decrypt all the data. For this, Programmable Order-Preserving Secure Index Scheme (POPIS) was proposed to hide the original data while performing query processing without decryption. However, POPIS is weak to both order matching attacks and data count attacks. To overcome the limitations, we propose a group order-preserving data encryption scheme (GOPES) that can support efficient query processing over the encrypted data. Since GOPES can preserve the order of each data group by generating the signatures of the encrypted data, it can provide a high degree of data privacy protection. Finally, it is shown that GOPES is better than the existing POPIS, with respect to both order matching attacks and data count attacks.

• Journal of Korea Multimedia Society
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• v.17 no.10
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• pp.1182-1188
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• 2014

Recently, the research on database outsourcing has been actively done with the popularity of cloud computing. However, because users' data may contain sensitive personal information, such as health, financial and location information, the data encryption methods have attracted much interest. Existing data encryption schemes process a query without decrypting the encrypted databases in order to support user privacy protection. On the other hand, to efficiently handle the large amount of data in cloud computing, it is necessary to study the distributed index structure. However, existing index structure and query processing algorithms have a limitation that they only consider single-column query processing. In this paper, we propose a grid-based multi column indexing scheme and an encrypted query processing algorithm. In order to support multi-column query processing, the multi-dimensional index keys are generated by using a space decomposition method, i.e. grid index. To support encrypted query processing over encrypted data, we adopt the Hilbert curve when generating a index key. Finally, we prove that the proposed scheme is more efficient than existing scheme for processing the exact and range query.

• Journal of KIISE
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• v.43 no.12
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• pp.1437-1457
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• 2016

In outsourced databases, the cloud provides an authorized user with querying services on the outsourced database. However, sensitive data, such as financial or medical records, should be encrypted before being outsourced to the cloud. Meanwhile, k-Nearest Neighbor (kNN) query is the typical query type which is widely used in many fields and the result of the kNN query is closely related to the interest and preference of the user. Therefore, studies on secure kNN query processing algorithms that preserve both the data privacy and the query privacy have been proposed. However, existing algorithms either suffer from high computation cost or leak data access patterns because retrieved index nodes and query results are disclosed. To solve these problems, in this paper we propose a new kNN query processing algorithm on the encrypted database. Our algorithm preserves both data privacy and query privacy. It also hides data access patterns while supporting efficient query processing. To achieve this, we devise an encrypted index search scheme which can perform data filtering without revealing data access patterns. Through the performance analysis, we verify that our proposed algorithm shows better performance than the existing algorithms in terms of query processing times.

• Land and Housing Review
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• v.7 no.1
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• pp.1-8
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• 2016

This research has its objective in searching for a management plan that is stronger than existing plan for the regional development project in time for the execution of "Regulations on Regional Development and Support". Accordingly, the following plans for improvement are suggested to make improvements in lack of regional development projects management awareness; absence of integrated management system; and lack of reliability in project management information. Firstly, the management of regional development project needs to be operated as a system for project evaluation management based on related legislations. Secondly, various information of regional development project should construct a database, which becomes an information system that can be utilized by the central government and regional governing organizations. Third, to promote efficiency in regional development project management and expertise, it is necessary to prepare a project management system utilizing professional outsourcing organizations and such. Lastly, it is necessary to improve the work environment to enhance the expertise and the responsibilities of those government officials in charge of the project.

• Journal of the Korean Society of Clothing and Textiles
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• v.28 no.910
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• pp.1341-1350
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• 2004

With the advent of the globalization trend of the industry, the enterprises in the fashion industry around the world have witnessed a surge in exports and foreign direct investment (FDI). Many fashion enterprises in each country, along with the multi-national enterprises, have engaged in global outsourcing of the production process in order to increase their global competitiveness, and have attempted to expand their commercial presence in the world market by entering into other foreign markets. Such market entry attempts have lead to the increase of FDI and trade by the fashion enterprises. This study attempts to examine the interactive relation between FDI and export/import of fashion products in different fashion industries both worldwide and in Korea. First, we will look into the relation between export/imports and FDI of each regional fashion industry, then expand the study to the relation between those two factors found in the fashion industry of Korea in general, and finally, to the relation between the two factors in the fashion industry of countries that are the major export nations of fashion goods into Korea. The data which this study is based on were collected from the International Trade Statistics Yearbook Vol. II (UN, 1991-2002, New York: UN), UNCTAD Handbook of Statistics (UN, 1996-2001, Vienna: UN), UNCTAD database, the archives of the Korea Federation of Textile Industry and the archives of the Export-Import Bank of Korea. The methods of analysis used in this study were correlation, regression, and descriptive statistics of the data. The result of this study showed that each fashion industry of different regions was subject to a diversity of effects. For one, the fashion industry in Korea showed a significant correlation between outbound investment and both export and import. On the other hand, the apparel industry in Korea showed a significant correlation between outbound investment and imports, but no such correlation between outbound investment and exports.