• Journal of the Korea Institute of Information Security & Cryptology
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• v.32 no.1
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• pp.141-154
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• 2022

In the data economy era, various policies are being implemented to create an active data distribution environment. In South Korea, the formation of a big data distribution platform and data trading began with the launch of the Financial Data Exchange under public data governance. In the case of major advanced countries in the data field, they have built a data distribution environment based on the data broker industry for decades and have strengthened national data competitiveness through added values generated from the industry. However, behind the active data distribution through data brokers, there are numerous information security issues, which have resulted in various privacy issues and national security threats. These problems can occur sufficiently in the process of domestic financial data exchange. In our study, we analyzed various information security issues of data trading caused by data brokers and derived information security requirements to be considered when trading data. We verified whether information security requirements are well reflected in the information security policy for each transaction stage of the domestic financial data exchange. Based on the verification, measurements to strengthen information security for financial data exchange are presented in our paper.

• Journal of Korea Technology Innovation Society
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• v.21 no.1
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• pp.64-91
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• 2018

This study explores the interactive pattern among social issue, academic research, and governmental policy on science and technology during the last 20 years. In particular, we try understand wether the science and technology policy research and governmental policy meets social needs appropriately. In order to do this, we have collected text data from news articles, papers, and governmental documents. Based on these data, social network analysis and cluster analysis has been carried out. According to the results, we have found that science and technology policy researches tend to focus on fragmented technological innovation meeting urgent practical needs at the initial stage. However, recently, the main characteristics of science and technology policy research shows co-evolutionary patterns responding to society. Furthermore, time lag also has been observed in the process of interaction among the three bodies. Based on these results, we put forward some suggestions for upcoming researches in science and technology policy. Firstly, analysis levels are needed to be shifted from micro level to mezo or macro level. Secondly, more research efforts are required to be focused on policy process in science technology and its public management. Finally, we have to enhance the sensitiveness to social issues through studies on agenda setting in science and technology policy.

• Journal of the Korea Society of Computer and Information
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• v.25 no.11
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• pp.105-114
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• 2020

In this paper, we address security issues in 5G non-public networks for industrial applications. In contrast to public networks that offer mobile network services to the general public, 5G non-public networks provide 5G network services to a clearly defined user organization or groups of organizations, and they are deployed on the organization's defined premises, such as a campus or a factory. The main goal of this paper is to derive security threats and potential security requirements in the case that 5G non-public networks are built for discrete and process industries according to the four deployment models of 5G-ACIA (5G Alliance for Connected Industries and Automation). In order to clarify the scope of this paper, we express the security toolbox to be applied to 5G non-public networks in the form of the defense in depth concept. Security issues related to general 5G mobile communication services are not within the scope of this paper. We then derive the security issues to consider when applying the 5G-ACIA deployment models to the industrial domain. The security issues are divided into three categories, and they are described in the order of overview, security threats, and potential security requirements.

• Information Systems Review
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• v.9 no.3
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• pp.183-204
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• 2007

As the innovation of Information technology in the Public sector is in progress, the "Efficient adaptation and management of information system Act" (passed the National Assembly in December 30, 2005) was established to support the information system planning and development which are systematic and integrated in the enterprise view point. The public sector should adopt Information Technology Architecture into it's organization by the act. This paper reports on the issues, solutions and CSFs (Critical Success Factors) considering the adoption of ITA through the implementation for the case of the Korea Post. To adopt ITA program to the Public sector successfully, Korea Government should set the clear goals for IT A, set the standards for IT A project pricing, and collaborate with the system integration industry to make successful IT A program cases. The case study of Korea Post of MIC will be useful in developing and managing ITA programs for all agencies and organizations considering adoption of ITA.

• Journal of the Korean Society for information Management
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• v.32 no.2
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• pp.63-86
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• 2015

Big data refers to dataset whose size is beyond the ability of typical database software tools to capture, store, manage, and analyze. And now it is considered to create the new opportunity in every industry. The purpose of this study is to develop of big data services in public library for improved library services. To this end, analysed the type of library big data and needs of stockholders through the various methods such as deep interview, focus group interview, questionnaire. At first step, we defined the 16 big data service models from interview with librarians, and LIS professions. Second step, it was considered necessity, timeliness, possibility of development. We developed the final two services called on 'Decision Support Services for Public Librarians' and 'Book Recommendation Services for Users.'

• Journal of Digital Convergence
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• v.17 no.1
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• pp.313-317
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• 2019

Installation art is another methodology of modern art appeared in 1970's. Installation art does not seek for a particular ideology or specific form to express, but rather it endeavors to produce a work produced by mutiful media convergence and integration. Therefore, this leads to inspire new cognition on ordinary places. Installaton art is strongly related with public art in terms of most works are to be exhibited. Thus from this point of view, installation art contains public art which aims to better communication among people, nature and artificial things. Eventually, temporary installation art contains communication and convergence of people and object in public places.

• The Journal of the Korea Contents Association
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• v.15 no.2
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• pp.377-392
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• 2015

In today's data-driven society, we've been hearing a great deal about the power of Big Data over the last couple of years. At the same time, it has become the most important issue that the problems is caused by the data collection, management and utilization. Moreover, Big Data has a wide applications ranging from situation awareness, decision-making to the area to enable for the foreseeable future with man-made and analysis of data. It is necessary to process data into meaningful information given that the huge amount of structured and unstructured data being created in the private and the public sector, even in disaster management. This data should be public and private sector at the same time for the appropriate linkage analysis for effective disaster management. In this paper, we conducted a literature review and case study efficient Big Data to derive the revitalization of national disaster management. The study obtained data on the role and responsibility of the public sector and the private sector to leverage Big Data for promotion of national disaster management plan. Both public and private sectors should promote common development challenges related to the openness and sharing of Big Data, technology and expansion of infrastructure, legal and institutional maintenance. The implications of the finding were discussed.

• Korean Journal of Social Welfare Studies
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• v.47 no.1
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• pp.291-315
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• 2016

This paper analyzed experientially political conducts of the political players on privitization of healthcare service and public healthcare sercive aftrer the democratization in order to determine the influence of democracy on the development of a welfare state. For this purpose, the contents of the major daily newspaper reports from 1993 to 2012 were analyzed. As a result of such analysis, it was found that the political parties did not drive the policy even after the democratization reflecting the demands of the people, political parties had a strong conservative stance and did not show a consistent ideological inclination in their policies. Second, even though the role of the civic movement in the public healthcare service issue became larger after the democratization, policy decisions were driven by the government in an authoritative manner. In addition, the degree of contribution by the civic movements to the development of public healthcare service did not offset the influence of the president and the finance ministry on the development of privatization. Third, both the development of public healthcare service and privatization progressed simultaneously under the Kim Dae Jung, Rho Mu Hyun and Lee Myung Bak administrations after the democratization and it is thus difficult to argue that the qualitative nature as a welfare state was changed after the democratization. However, the degree of development as a welfare state differed depending on the ideological inclination of the presidents, the capacity of the welfare ministry and the ministry that drove the privatization.

• The Korean Journal of Archival Studies
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• no.53
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• pp.229-259
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• 2017

The purpose of this study is to find out the level of the classification system of the government-funded research institutes and to search the future direction of the classification scheme of these research institutes. As a result of analyzing the classification system and regulations of the 23 government-funded research institutes, it is found that the regulations of the records management of most institutions are basically based on other regulations before Public Records Act. In addition, there are not many institutions in which the record production system that reflects the Public Records Act is introduced, and the production and classification of the records are performed separately, and the classification scheme in which the organization classification and the functional classification are mixed is often used only as a reference tool for setting retention period. To overcome this situation, it is necessary to improve the regulation, classification scheme and system. The revision of the law at the national level and establishment of records management regulations at the institutional level should be made. A special classification scheme for 'research' which is a core function of the research institute should be designed and this classification scheme must be applied from the registration stage of records. The fact that the record management obligation is ignored and the production records are not properly managed is to deny the value of the research field records by themselves. I hope that the records management of government-funded research institutes will be moved in place as soon as possible and practical issues will be communicated to academia and good ideas for better development will be returned to the field of practice.

• Informatization Policy
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• v.26 no.3
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• pp.3-35
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• 2019

In the fourth industrial revolution age, because of advance in the intelligence information technologies, the various roles of AI have attracted public attention. Starting with Google's Alphago, AI is now no longer a fantasized technology but a real one that can bring ripple effect in entire society. Already, AI has performed well in the medical service, legal service, and the private sector's business decision making. This study conducted an exploratory analysis on the possibilities and issues of AI-driven policy decision making in the public sector. The three research purposes are i) could AI make a policy decision in public sector?; ii) how different is AI-driven policy decision making compared to the existing methods of decision making?; and iii) what issues would be revealed by AI's policy decision making? AI-driven policy decision making is differentiated from the traditional ways of decision making in that the former is represented by rationality based on sufficient amount of information and alternatives, increased transparency and trust, more objective views for policy issues, and faster decision making process. However, there are several controversial issues regarding superiority of AI, ethics, accountability, changes in democracy, substitution of human labor in the public sector, and data usage problems for AI. Since the adoption of AI for policy decision making will be soon realized, it is necessary to take an integrative approach, considering both the positive and adverse effects, to minimize social impact.