• Journal of Intelligence and Information Systems
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• v.22 no.4
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• pp.109-122
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• 2016

Recently, big data analysis has developed into a field of interest to individuals and non-experts as well as companies and professionals. Accordingly, it is utilized for marketing and social problem solving by analyzing the data currently opened or collected directly. In Korea, various companies and individuals are challenging big data analysis, but it is difficult from the initial stage of analysis due to limitation of big data disclosure and collection difficulties. Nowadays, the system improvement for big data activation and big data disclosure services are variously carried out in Korea and abroad, and services for opening public data such as domestic government 3.0 (data.go.kr) are mainly implemented. In addition to the efforts made by the government, services that share data held by corporations or individuals are running, but it is difficult to find useful data because of the lack of shared data. In addition, big data traffic problems can occur because it is necessary to download and examine the entire data in order to grasp the attributes and simple information about the shared data. Therefore, We need for a new system for big data processing and utilization. First, big data pre-analysis technology is needed as a way to solve big data sharing problem. Pre-analysis is a concept proposed in this paper in order to solve the problem of sharing big data, and it means to provide users with the results generated by pre-analyzing the data in advance. Through preliminary analysis, it is possible to improve the usability of big data by providing information that can grasp the properties and characteristics of big data when the data user searches for big data. In addition, by sharing the summary data or sample data generated through the pre-analysis, it is possible to solve the security problem that may occur when the original data is disclosed, thereby enabling the big data sharing between the data provider and the data user. Second, it is necessary to quickly generate appropriate preprocessing results according to the level of disclosure or network status of raw data and to provide the results to users through big data distribution processing using spark. Third, in order to solve the problem of big traffic, the system monitors the traffic of the network in real time. When preprocessing the data requested by the user, preprocessing to a size available in the current network and transmitting it to the user is required so that no big traffic occurs. In this paper, we present various data sizes according to the level of disclosure through pre - analysis. This method is expected to show a low traffic volume when compared with the conventional method of sharing only raw data in a large number of systems. In this paper, we describe how to solve problems that occur when big data is released and used, and to help facilitate sharing and analysis. The client-server model uses SPARK for fast analysis and processing of user requests. Server Agent and a Client Agent, each of which is deployed on the Server and Client side. The Server Agent is a necessary agent for the data provider and performs preliminary analysis of big data to generate Data Descriptor with information of Sample Data, Summary Data, and Raw Data. In addition, it performs fast and efficient big data preprocessing through big data distribution processing and continuously monitors network traffic. The Client Agent is an agent placed on the data user side. It can search the big data through the Data Descriptor which is the result of the pre-analysis and can quickly search the data. The desired data can be requested from the server to download the big data according to the level of disclosure. It separates the Server Agent and the client agent when the data provider publishes the data for data to be used by the user. In particular, we focus on the Big Data Sharing, Distributed Big Data Processing, Big Traffic problem, and construct the detailed module of the client - server model and present the design method of each module. The system designed on the basis of the proposed model, the user who acquires the data analyzes the data in the desired direction or preprocesses the new data. By analyzing the newly processed data through the server agent, the data user changes its role as the data provider. The data provider can also obtain useful statistical information from the Data Descriptor of the data it discloses and become a data user to perform new analysis using the sample data. In this way, raw data is processed and processed big data is utilized by the user, thereby forming a natural shared environment. The role of data provider and data user is not distinguished, and provides an ideal shared service that enables everyone to be a provider and a user. The client-server model solves the problem of sharing big data and provides a free sharing environment to securely big data disclosure and provides an ideal shared service to easily find big data.

• Journal of Computing Science and Engineering
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• v.5 no.3
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• pp.183-196
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• 2011

There has recently been a surge of interest in relational database mining that aims to discover useful patterns across multiple interlinked database relations. It is crucial for a learning algorithm to explore the multiple inter-connected relations so that important attributes are not excluded when mining such relational repositories. However, from a data privacy perspective, it becomes difficult to identify all possible relationships between attributes from the different relations, considering a complex database schema. That is, seemingly harmless attributes may be linked to confidential information, leading to data leaks when building a model. Thus, we are at risk of disclosing unwanted knowledge when publishing the results of a data mining exercise. For instance, consider a financial database classification task to determine whether a loan is considered high risk. Suppose that we are aware that the database contains another confidential attribute, such as income level, that should not be divulged. One may thus choose to eliminate, or distort, the income level from the database to prevent potential privacy leakage. However, even after distortion, a learning model against the modified database may accurately determine the income level values. It follows that the database is still unsafe and may be compromised. This paper demonstrates this potential for privacy leakage in multi-relational classification and illustrates how such potential leaks may be detected. We propose a method to generate a ranked list of subschemas that maintains the predictive performance on the class attribute, while limiting the disclosure risk, and predictive accuracy, of confidential attributes. We illustrate and demonstrate the effectiveness of our method against a financial database and an insurance database.

• Journal of Korean Library and Information Science Society
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• v.47 no.1
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• pp.243-277
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• 2016

This study aimed at analyzing the influence factors of the academic library on college's education and research performances. The researched subject was 144 colleges targeted for information disclosure by Center for Higher Education Information Disclosure. The conclusion of the present study is as follows. First, the educational performance in college showed the positive relation with 'library environment' variables except 'seating capacity per capita'. Second, the educational performance in college was positively related to the variable of 'library outcome' and particularly, it was directly influenced by circulation, visit, and interlibrary loan. Third, the research performance in college showed a positive correlation with 'library environment' variables except facility scale of library. Fourth, the research performance in college showed a positive relation with the variable of 'library outcome' and research performance excluding 'publication in domestic journals per capita' was positively influenced by 'document delivery services usage per capita' and 'commercial DB usage per capita' in common.

• The Journal of the Korea Contents Association
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• v.15 no.4
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• pp.139-152
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• 2015

One of the most latest trends in today's marketing practice is to create branded contents for interacting with online consumers. Marketers are increasingly adopting behind-the-scene contents which disclose a brand's backstage information in their contents marketing efforts. The current study conceptualizes this behind-the-scene storytelling based on dramaturgical theory and investigates its impacts on consumer responses. The study also examines how consumers advertising skepticism level would influence on the evaluation of branded contents. In addition, the moderating role of advertising skepticism in evaluating brand's backstage information is investigated. The findings suggests that consumers who are exposed to brand's backstage indicate greater information attitude, brand attitude, and purchase intention than those who are not exposed to brand's backstage. Also consumers who have lower advertising skepticism evaluated branded contents more positively than high ad skepticism consumers. Lastly, the moderating role of advertising skepticism on the impact of brand's backstage disclosure is reported.

• Journal of Convergence for Information Technology
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• v.7 no.3
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• pp.47-53
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• 2017

The university must open the "School Development Plan and Specialization Plan" at the university allimi. The reason for this is the Special Act on the Disclosure of Information by Educational Institutions, enacted on May 25, 2007, and the Plan for Reform of University Reform announced by the Ministry of Education on Mar 28, 2014. Therefore, we examined the similarity and standardized model of the "School Development Plan and Specialization Plan" published by a total of 137 colleges. As a result of the study, only 17(12.4%) of the college produced information in two ways(school development and specialization), and the rest were not. The school development plan presented quantitative indicators such as world number one, The characterization plan presented qualitative indicators such as human. Based on this, standardized research procedures and conception are presented.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.28 no.4
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• pp.127-156
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• 2017

This study aims to identify the problems of services for the disabled in Presidential archives and to propose methods to solve those problem. To achieve the goal this study conducted literature surveys such as existing researches, laws and surveys on people with disabilities, and conducted case studies on domestic institutions that provide similar services with archives and US Presidential Archives. Also, information disclosure request was made to the service representatives in Presidential Archives and we analyed the current status of offline services for the disabled who visited Presidential Archives based on the results of literature review, case studies and information disclosure request. As a result, the problems were found in terms of space and facilities, assistive devices, programs and manpower and we proposed the methods to improve the services for the disabled.

• Journal of Digital Convergence
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• v.11 no.12
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• pp.453-458
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• 2013

In a wireless LAN environment, security is the most important. Security of 802.11 standard has many vulnerabilities of the network attack. IEEE has created mechanisms to security for this vulnerability. But the vulnerabilities is characteristic of broadcast in the air in wireless LAN, it is more disclosure then other network environments. In a wireless LAN environment, it can be accessed to the wireless LAN after authentication. Authentication process is one of most important because of the first security step. However, in the authentication process is not mentioned in the method of reducing the disclosure maximum fundamental. Therefore, in this research, the vulnerability of 802.11 are presented and how to do de-authentication in 802.11.

• Journal of Arbitration Studies
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• v.21 no.3
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• pp.3-20
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• 2011

An arbitrator is an impartial person chosen to decide the issue between parties engaged in a dispute. But the arbitrator appointed by a party or arbitration institution shall be impartial or independent and should disclose to the administrator any circumstances likely to give rise to justifiable doubts as to his impartiality or independence. If, at any stage during the arbitration, new circumstances arise that may give rise to such doubts, the arbitrator shall promptly disclose such circumstances to the parties and to the administrator. Upon receipt of such information from an arbitrator or a party, an party must challenge any arbitrator whenever circumstances exist that give rise to justifiable doubts as to arbitrator's impartiality or independence. Under these circumstance, there were two cases declared by the Korean Supreme Court in relation to the cancellation of the arbitration award. One arbitral case was cancelled for the reason of the having been arbitral procedure without disclosure arbitrator's impartiality, and the other case was refused to cancel the ward for the reason of the having been arbitral procedure without challenge an arbitrator. There are not, however, the standard to decide what is definitely the arbitrator's impartiality or independence and the difference on qualification between arbitrator chosen by an party and neutral arbitrator in korean arbitration law and rules. Nevertheless, korean court require arbitrator to be impartial and independent and the arbitration parties to challenge arbitrator' impartiality or independence.

• The Journal of Asian Finance, Economics and Business
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• v.6 no.3
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• pp.91-101
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• 2019

This paper finds some stylized facts about executive pay in South Korea. Using aggregate data of the listed companies since 2002, we find that 1) the director's remuneration has risen faster than the employee compensation, thus, the pay ratio of executive and employee has escalated from 3.0 to 4.5; 2) the executive compensation for large business group fluctuates more widely than that for small and medium enterprises does, hence the pay ratio for large firms changes widely too; 3) the median pay ratio has not grown monotonically but it rather rises to remain still around year 2011, which is accounted for mostly by small and medium enterprises. New information on executive compensation by compulsory disclosure starting from 2013 made further analysis of CEO compensation attainable. Based on the conventional regression analysis for 2013-2017, we find that 1) the elasticity of CEO pay with respect to firm value is about 0.18; 2) the volatility of stock return is negatively related to CEO pay; 3) contemporaneous stock return is positively associated with the pay; 4) there is insufficient evidence that large business groups pay their CEOs more than small and medium enterprises do. These results are robust under various model specifications.

• Journal of Korean Society of Archives and Records Management
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• v.13 no.2
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• pp.7-30
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• 2013

The study aims at providing alternative strategies for ongoing issues concerning presidential records. It reviews a history of legislation about presidential records management and discusses issues on protection and disclosure of access-restricted presidential records. Four major issues-presidential records' category, management authority, designated representative, and production control-are argued. As a result, this study proposes solutions to guarantee the independence of presidential records management agency and to innovate a presidential records management process.