• The Journal of Korean Association of Computer Education
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• v.10 no.3
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• pp.19-29
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• 2007

The informationization policies undertaken in concentration only on the national economic growth invited the unbalance between technology and social culture, displayed the serious reverse function phenomena, and these problems threatened the personal identity of individual in the cyber space. In this study, we developed an index model on the information and communication ethics where the national level of information and communication ethics can be examined. For this purpose, based on diverse previous research data, the areas of the ethical indicators in information and communication has been developed through the brain storming of the research staff. Through the consultation with experts, the feasibility and representation as index was heightened, and the weighted values to the each index was provided by the AHP method. The outcome of questionnaires from the information users and information providers (great portals) was also reflected in simple average method into the calculation of the weighted value to the each index element.

• Journal of the Institute of Electronics and Information Engineers
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• v.49 no.9
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• pp.76-84
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• 2012

Visualizations have played an important role in understanding new insights of users of social network for social network analysis. Most of the previous works of visualization focus on representing user's relationship on social network by a complex multi dimension graph. However, this method is difficult to identify the important of relationship to focus on personal user intuitively. Besides, the user's messages to reflect the interrelation between users is insufficient, since most of visualization methods represent the user relationship using information of interaction between nodes on networks. In order to resolve above problem, this paper proposes a new visualization method to visualize user based hierarchy that uses internal relationship of users by fuzzy relational product and external access information of network.

• Journal of the Korea Society of Computer and Information
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• v.15 no.12
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• pp.247-253
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• 2010

The demand that needs 'Digital Legacy', a notion that an Internet user can transfer his private blogs, e-mail and financial assets to inheritors and party interested when he died suddenly in the accident, has been growing recently. This issue has become a social hot potato since Justine Ellsworth's father in USA sued Yahoo for the right to access his son's Yahoo e-mail account after Justine Ellsworth had died in Iraq, in November, 2004 and the problems happened to deal with suicide-related blogs and homepages when great entertainers in Korea committed suicide and soldiers' parents in the situation of warship Chonan tragedy in Korea demanded access to soldiers' homepages and e-mail accounts. The point at issue focuses on the property matters about the digital information of the deceased and the relationship between the deceased and the Internet Service Provider(ISP). This research looks into the trend of judicial precedents and laws related to the digital information of the deceased and suggests the preliminary data of the next research.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 1999.10a
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• pp.139-148
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• 1999

오늘날 기술집약적인 벤처기업들에 대한 관심이 집중되고 있다. 소수의 진취적인 벤처기업들이 기술개발 및 신상품 개발 등 두드러진 활약을 보이고 있기 때문이다. 그러나 실제 이 벤처기업의 성공 가능성은 그렇게 높지 않다. 특히 벤처기업 환경이 아직 미약한 국내의 경우 위험부담이 훨씬 더 크다. 이러한 벤처기업 환경에서 투자대상 벤처기업을 선정하는 것은 매우 전략적인 의사결정이다. 일반적으로 일반 벤처투자가들은 관심이 있는 산업에 해당하는 기업의 사업계획서와 기초적인 관련 정보를 토대로 투자여부를 결정한다. 그렇지만 실제로는 이와 같은 분석에 필수적으로 요구되는 정보가 불확실할 뿐만 아니라 기술분야에 대한 전문적 지식도 부족하기 때문에 투자 여부를 결정하는 것은 매우 복잡하고 어려운 문제이다. 그러므로 투자대상 벤처기업의 선정을 효과적으로 지원해주는 체계적인 접근이 필요하다. 특히 벤처 사업과 관련된 기술 동향 및 수준 등에 관련된 전문 지식과 경험이 체계적으로 제공되어야 하고 또한 벤처 투자가의 개인적 경험과 판단이 평가 프로세스에 직접적으로 반영될 수 있어야 한다. 이에 본 연구에서는 전문가의 지식과 경험을 체계화하고 투자가의 개인적 판단을 효과적으로 수용할 수 있는 전문가시스템의 접근방법을 제시하고자 한다. 투자대상 벤처기업의 선정을 위한 전문가시스템을 구축하기 위해 본 연구에서는 다양한 정보수집 과정을 거쳤다. 우선 벤처 투자와 관련된 기존 문헌을 심층 분석하였으며 아울러 벤처 투자 업계에서 활약중인 전문 벤처캐피탈리스트들과의 수차례 인터뷰를 통해 벤처기업 평가의 주요 요인과 의사결정 과정을 파악할 수 있었다. 이러한 과정을 통하여 본 연구에서는 벤처 투자의 90%를 차지하는 정보통신분야에 속한 기법 중에서 투자대상 벤처기업의 선정을 위한 전문가시스템을 구축중이다.의 밀도를 비재무적 지표변수로 산정하여 로지스틱회귀 분석과 인공신경망 기법으로 검증하였다. 로지스틱회귀분석 결과에서는 재무적 지표변수 모형의 전체적 예측적중률이 87.50%인 반면에 재무/비재무적 지표모형은 90.18%로서 비재무적 지표변수 사용에 대한 개선의 효과가 나타났다. 표본기업들을 훈련과 시험용으로 구분하여 분석한 결과는 전체적으로 재무/비재무적 지표를 고려한 인공신경망기법의 예측적중률이 높은 것으로 나타났다. 즉, 로지스틱회귀 분석의 재무적 지표모형은 훈련, 시험용이 84.45%, 85.10%인 반면, 재무/비재무적 지표모형은 84.45%, 85.08%로서 거의 동일한 예측적중률을 가졌으나 인공신경망기법 분석에서는 재무적 지표모형이 92.23%, 85.10%인 반면, 재무/비재무적 지표모형에서는 91.12%, 88.06%로서 향상된 예측적중률을 나타내었다.ting LMS according to increasing the step-size parameter $\mu$ in the experimentally computed. learning curve. Also we find that convergence speed of proposed algorithm is increased by (B+1) time proportional to B which B is the number of recycled data buffer without complexity of computation. Adaptive transversal filter with proposed data recycling buffer algorithm could efficiently reject ISI of channel and in

• Journal of the Korea Institute of Information and Communication Engineering
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• v.16 no.8
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• pp.1717-1724
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• 2012

Information of social relationship of users on online is useful information for other services such as recommend information of commercial activity. So, there is a lot of studies analysis with connection to visualization of social network. Most of the previous works of visualization focus on representing user's relationship on social network by a complex multi dimension graph. However, this method is difficult to identify the important of relationship to focus on personal user intuitively. In order to resolve above problem, this paper proposes a new visualization method using the user's correlation and user relationship of network node. The proposed method visualizes the hierarchy relationship of users using the internal relation of network reflecting user's message and external relation of network nodes.

• Journal of Convergence for Information Technology
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• v.10 no.5
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• pp.16-22
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• 2020

In this paper, the technology and capabilities required for the job of developing security software recommended by the Cybersecurity Human Resources Development Framework of the National Initiative for Cybersecurity Education (NICE) were studied. In this paper, we describe what security skills are needed for the task of developing security software and what security capabilities should be held. The focus of this paper is to analyze the consistency between security technologies (core and specialized technologies) required for security software development tasks and the curriculum of information protection-related departments located in Seoul, Korea. The reason for this analysis is to see how the curriculum at five universities in Seoul is suitable for performing security software development tasks. In conclusion, if the five relevant departments studied are to intensively train developers of development tasks for security software, they are commonly required to train security testing and software debugging, how secure software is developed, risk management, privacy and information assurance.

• Convergence Security Journal
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• v.11 no.5
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• pp.3-12
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• 2011

According to the NIS, damages due to leaking industrial technology are reaching tens of trillion won. The type of damages are classified according to insider leaks, joint research, and hacking, illegal technology leaks and collaborated camouflaged. But 80% of them turned out to be an insider leak about connecting with physical security. The convergence of IT and non IT is accelerating, and the boundaries between all area are crumbling. Information Security Industry has grown continuously focusing Private Information Security which is gradually expanding to Knowledge Information Security Industry, but Information Security Industry hereafter is concentrated with convergence of IT Security Technology and product, convergence of IT Security and Physical Security, and IT convergence Industry Security. In this paper, for preventing company information leaks, logical security and physical security both of them are managed at the same level. In particular, using convergence of physical security systems (access control systems, video security systems, and others) and IT integrated security control system, convergence security monitoring model is proposed that is the prevention of external attacks and insider leaks, blocked and how to maximize the synergy effect of the analysis.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.22 no.3
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• pp.505-514
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• 2012

Because people usually establish their online social network based on their offline relationship, the social networks (i.e., the graph of friendship relationships) are often used to share contents. Mobile devices let it easier in these days, but it also increases the privacy risk such as access control of shared data and relationship exposure to untrusted server. To control the access on encrypted data and protect relationship from the server, M. Atallah et al. proposed a hop-based scheme in 2009. Their scheme assumed a distributed environment such as p2p, and each user in it shares encrypted data on their social network. On the other hand, it is very inefficient to keep their relationship private, so we propose an improved scheme. In this paper, among encrypted contents and relationships, some authenticated users can only access the data in distributed way. For this, we adopt 'circular-secure symmetric encryption' first. Proposed scheme guarantees the improved security and efficiency compared to the previous work.

• Journal of Digital Convergence
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• v.12 no.6
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• pp.341-347
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• 2014

Among methods of the big data process, big data process under the cloud environment is becoming a main topic. As part of solving faced problem and strengthening industrial competitiveness in the medical and health industry, discussion on ways to activate big data is actively being conducted. Because the reason is a paradigm shift, saving pressure for increasing health care costs, and increased consumer interest for the level of service. In this paper, we find out the relationship between the cloud and big data. And we are to research and analysis a cloud-based big data case in the medical field. Finally we propose the efficient utilization and future outlook. For the smooth functioning of cloud-based medical big data, we have to solve the problems like infrastructure extension, analysis/application software development, and professional manpower training. In addition, we have to correct insufficient laws maintenance to the Cloud utilization, and improve the security and the recognition to personal information, and solve authority for data centralization.

• Journal of Digital Convergence
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• v.14 no.1
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• pp.131-139
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• 2016

Given social problems of service addiction such as mobile messenger services(MMSs), many studies on service management and information systems have examined the negative outcomes of service addiction. MMS addiction significantly influences user's health and academic performance. In this regard, this study investigated the effects of MMS addiction on user's health and academic performance problems. We posit personal traits and service features as key antecedents of MMS addiction. The research framework was tested by using survey data collected from 162 university students who have frequently used Kakaotalk. The analysis results found that MMS addiction significantly influences users' health and academic performance problems. The findings of this study indicate that self-esteem and self-control play an important role in generating MMS addiction. While attention significantly affects MMS addiction, social relationship formation and perceived enjoyment are not significantly associated with MMS addiction. The analysis results help MMS providers and government establish policies or guidelines to induce healthy MMS use.