• The Journal of Society for e-Business Studies
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• v.25 no.4
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• pp.15-32
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• 2020

Increasing uncertainties in the technological innovation environment and increasing technology competition also present new challenges in terms of industrial technology security. Therefore, the purpose of this study was to identify the direction of policy change necessary for the improvement of related policies in the future by examining the importance and implementation of the government's industrial technology security support policies for small and medium-sized enterprises engaged in industrial technology innovation activities. As a result of the analysis, first of all, small and medium-sized enterprises that responded to the government's industrial technology security support policy were perceived to be less performing than the importance of the program. These results can be said to mean that selective budget expansion for related policy programs may be necessary, along with efforts to improve the quality of each program. Second, an analysis of the differences in group recognition between new technology certification firms and industrial technology verification(certification) companies showed that significant differences exist between groups for the program. These results suggest that more effective operation of the relevant policies may require policy enforcement in consideration of the level of security and will of each company in industrial technology, as much as the quantitative characteristics of the entity. This study is meaningful in providing the necessary policy directional basic information for the design and execution of more specific and effective industrial technology security policies by presenting empirical research results that domestic small and medium-sized enterprises are aware of about the government's industrial technology security policies.

• Journal of National Security and Military Science
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• s.9
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• pp.191-206
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• 2011

This study is presented a scheme that information security research institutions located within the central area can be participated actively m national defense information security industry. The many of information security company are located in the central region(Daejeon) and there are many research institutes. However, the participation rate of the Defense Information Security Industry is not high compared to other provinces. Although a variety of reasons, there are no the Defense Privacy Office that could have a role in protocol and the information about the industry. In addition, the Department of Defense related to national defense information security industry have not information about research institutions in the central region and are not well to identify the characteristics of institutional technology and research. So in this paper we presented some of the alternatives. 1) Building Pool involved in information security research according to the characteristics of each agency 2) Constitute the research community between Research institutions and the company 3) Build the technology cooperation between research institutions and the defense research institutes 4) Utilization of industry/university/research institutes related to Information Security Industry 5) Make strategic alliances among research institutes based on technical expertise.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.10 no.1
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• pp.122-127
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• 2009

In this paper, it is reviewed security architecture and proposed security model about secure aeronautical system, which is considering in the cynical research topics out of aeronautical traffic system. The reviewed contents is treated about security model fur domestic aeronautical system with international security technology trends in the basis of security technology related aeronautical services. In the security framework of aeronautical communication network, it is analyzed data link security technology between air and ground communication, and security architecture in according to aeronautical system, and presented security architecture of U information HUB model. The security architecture of U-information HUB includes the internetworking scope of airline, airport network, airplane network, and related government agency, etc.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.10 no.8
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• pp.1911-1919
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• 2009

Currently, the evaluation technology for the security systems of risk analysis level measurement is maintained by only the developed countries including U.S and U.K, and the evaluation technology and its infrastructure are insufficient for the evaluation technology of security threat analysis level measurement in Korea. Therefore this paper presents the development of the security control items and the evaluation tool(ISSPET) for the security level performance. It is expected to evaluate the security management level of the current system and its security environment through analyzing the security management level of security systems using ISSPET.

• Journal of Information Technology Applications and Management
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• v.23 no.2
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• pp.177-194
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• 2016

This study analyzed President Park's speeches and the government's industry policy in the field of information security using cognitive map. The relationship analysis between policy tool variables and policy goal variables was employed to derive revitalization strategy of information security. This paper found that entrepreneurship revitalization has very strong causality with expansion of domestic market and global market. But, on the other hand, HR development has very weak causality with job creation and future growth driver because the labor market in the information security industry is poor and its transfer rate to other industry is very high. This study showed that this cognitive map could be characterized by a scarcity of feedback loops and a strong emphasis on the positive loops in the structure of virtuous circle. In this paper, we also constructed a comprehensive cognitive map on the policy vision of information security, showing that there are a risk of cyber threat, an opportunity of new fusion security market, information security reinforcing circle, global economic circle, and domestic market circle.

• Proceedings of the Korea Information Processing Society Conference
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• 2007.11a
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• pp.1258-1261
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• 2007

온라인 피싱과 같은 경제적 목적의 정보 수집 행위들이 급격히 증가하고 있는 가운데, 위험 사이트 정보를 관리하는 블랙리스트 기반의 대응과 신뢰할 수 있는 사이트를 기반으로 하는 화이트 리스트 접근 방법이 활용되고 있다. 그러나 블랙리스트 기반 방법은 피싱 사이트의 유효시간을 볼 때 비현실적이며, 화이트 리스트 접근 방법은 인증된 사이트 내에 존재하는 악성 웹 페이지나 악성 사이트로 유도되는 피싱 메일에는 대응하기 어렵다. 이 논문에서는 화이트 리스트 접근 방법을 보완하기 위해 사용자 웹 페이지의 위험도를 정량화 할 수 있는 웹 페이지 위험도 산정 기법을 제안한다.

• Journal of Platform Technology
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• v.10 no.4
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• pp.91-96
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• 2022

Recently, the importance of Research and Development(R&D) security as well as R&D investment is emphasized in the flow of technology hegemony competition, where technology is directly related to national competitiveness.However, despite the enormous impact of the R&D security failure results, research output leakage accidents continue to occur.To solve this problem, this study analyzed leakage accidents and cases of R&D output and concluded that it is priory to develop regulations to raise security awareness at the field researcher level rather than the macroscopic security management system. In addition, in order to design the direction of the researcher security measures, observational study was conducted at the university research site, and four directions were presented, including case analysis and integration. The direction for designing researcher security measures will be used as a basis for developing security regulations specialized in future research sites and security management systems for research institutes.

• Convergence Security Journal
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• v.14 no.4
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• pp.101-108
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• 2014

Recently, The cloud computing technology is emerging as an important issue in the world and the cloud computing has attracted much attention to the technology about carbon dioxide reduction. However, Unlike to the positive aspects of a cloud computing are included several security vulnerabilities. For this reason, the carbon dioxide reduction of a cloud computing technology has a differences. Therefore, this paper will be analyzed to the carbon dioxide emission factors of a cloud computing through the cloud case studies related $CO_2$ emissions and experiments measured of $CO_2$ emissions a security system. and In the future, this is expected to be utilized as a basis for the security design and performance improvement.

• International Journal of Computer Science & Network Security
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• v.21 no.1
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• pp.174-183
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• 2021

The advent of social media has revolutionized the speed of communication between millions of people around the world in various cultures and disciplines. Social media is the best platform for exchanging opinions and ideas, interacting with other users of similar interests and sharing different types of media and files. With the phenomenal increase in the use of social media platforms, the need to pay attention to protection and security from attacks and misuse has also increased. The present study conducts a comprehensive survey of the latest and most important research studies published from 2018-20 on security and privacy on social media and types of threats and attacks that affect the users. We have also reviewed the recent challenges that affect security features in social media. Furthermore, this research pursuit also presents effective and feasible solutions that address these threats and attacks and cites recommendations to increase security and privacy for the users of social media.

• KEPCO Journal on Electric Power and Energy
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• v.6 no.4
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• pp.399-404
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• 2020

There are many attempts to apply AI technology to diagnose facilities or improve the work efficiency of the power industry. The emergence of new machine learning technologies, such as deep learning, is accelerating the digital transformation of the power sector. The problem is that traditional power systems face security risks when adopting state-of-the-art AI systems. This adoption has convergence characteristics and reveals new cybersecurity threats and vulnerabilities to the power system. This paper deals with the security measures and implementations of the power system using machine learning. Through building a commercial facility operations forecasting system using machine learning technology utilizing power big data, this paper identifies and addresses security vulnerabilities that must compensated to protect customer information and power system safety. Furthermore, it provides security guidelines by generalizing security measures to be considered when applying AI.