• Convergence Security Journal
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• v.20 no.1
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• pp.3-8
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• 2020

Blockchain can enhance data transparency and security through decentralized data management that is out of the centralized system. permissioned blockchain of the blockchain platform, only trust-based authorized nodes can participate in the distributed network. Considering the characteristics of the permissioned blockchain, it is necessary to consider the network communication speed, transaction finality agreement, and stability as a condition for selecting the consensus algorithm. The consensus algorithms of the permissioned blockchain environment are diverse such as PoA, PBFT, Raft, etc., but there are no various evaluation factors for selecting consensus algorithms. In this paper, various performance evaluation factors are proposed to analyze the characteristics of each consensus algorithm of the permissioned blockchain and to select an efficient consensus algorithm considering the characteristics of the user environment that composes the network. The proposed performance evaluation factor can consider the network speed, stability, and consensus of the finality agreement between nodes under the premise of trust. Through this, a more efficient blockchain network environment can be constructed.

• Journal of Korea Game Society
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• v.9 no.1
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• pp.63-74
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• 2009

This paper mainly focused on research developing online game characteristic evaluation system based on game characteristic evaluation model design. Online game characteristic evaluation system is a system that evaluates game online in real-time using evaluation elements defined by model design. Game characteristic evaluation system uses heuristic evaluation method, which is used to execute evaluation in four parts, technical element, manage element, social element, and competitive element. To verify objectivity and validity of game characteristic evaluation, assessment was performed by three groups of beginners, intermediates, and professionals to increase the trust. And game characteristic evaluation forum was hosted to collect opinion from diverse classes.

• Journal of the Korean Home Economics Association
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• v.44 no.9
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• pp.77-87
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• 2006

This study focused on a premarital counseling program and examined its effectiveness. The program consisted of eight sessions and was conducted with twelve premarital couples: six in the experimental group and six in the control group. The results were as followings. First, the premarital counselling program influenced the relationships of the premarital couples such as communication, sexual attitude, conflict solution, financial management, openness, interpersonal trust, and intimacy. Second, the male group significantly improved more than the female group in the areas of communication, conflict solution, and sexual attitude. The effects of the program continued to be effective after three months.

• Asian Journal for Public Opinion Research
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• v.11 no.3
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• pp.234-256
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• 2023

This study aims to understand how people evaluate the credibility of news they use every day and how such evaluation is related to their credibility assessment of news on media overall. For this purpose, this study examines the relationship between credibility of "news I use" and credibility of news on television and news portals overall, respectively. It also explores whether the relationship is moderated by the strength of political ideology. From regression analyses of a nationwide survey of 5,010 adults in South Korea in 2021, the results showed a lower level of credibility for "news I use" than for overall news on television and portals. The results also revealed a significant relationship between the credibility of "news I use" and credibility of overall news on the two media respectively. The expected moderation effect was significant for portal news, but not for television news. Findings and implications are discussed.

• Journal of the Korea Society of Computer and Information
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• v.18 no.9
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• pp.153-163
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• 2013

As the number of Smartphone users increases, mobile advertising market has been expanding rapidly. In line with this, the ways to evaluate mobile advertising effectiveness are diversified, and engagement is one of the crucial qualitative and multi-dimensional evaluation methods of mobile advertising. Thus, the purpose of this study is to identify key antecedents and consequences of mobile advertising engagement, and examines the structural relationships among those research variables. Informativeness and personalization were selected as antecedents of engagement, trust and e-WOM intention were selected as consequences of engagement based on the review of previous studies. Data collected from survey was used to assess research hypotheses. Results show that informativeness and personalization have significant and positive effects on engagement, and engagement influences on trust and e-WOM intention. In addition, trust is proven to be positively related to e-WOM intention.

• The Journal of the Korea Contents Association
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• v.17 no.2
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• pp.404-414
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• 2017

With the development of smartphones and online social networks, users produce a lot of contents and share them with each other. Therefore, users spend time by viewing or receiving the contents they do not want. In order to solve such problems, schemes for recommending useful contents have been actively studied. In this paper, we propose a contents recommendation scheme using collaborative filtering for users on online social networks. The proposed scheme consider a user trust in order to remove user data that lower the accuracy of recommendation. The user trust is derived by analyzing the user activity of online social network. For evaluating the user trust from various points of view, we collect user activities that have not been used in conventional techniques. It is shown through performance evaluation that the proposed scheme outperforms the existing scheme.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.23 no.6
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• pp.1025-1035
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• 2013

There has been an explosive increase in the population of OSN(online social network) for 10 years. OSN provides users with many opportunities to have communication among friends, families and goes so far as to make relationships among unknown people having similar belief or interest. However, OSN also produced adverse effects such as privacy breaches, leaking uncontrolled information or disseminating false information. Access control models such as MAC, DAC, RBAC are applied to the OSN to control those problems but those models in OSN are not fit in dynamic OSN environment because user's acts in OSN are unpredictable and static access control imposes burden on users to change access control rules one by one. This paper proposes the dynamic trust-based access control to solve the problems of traditional static access control in OSN.

• Journal of Intelligence and Information Systems
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• v.13 no.3
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• pp.119-140
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• 2007

Recommender systems enable a user to decide which information is interesting and valuable in our world of information overload. As the recent studies of distributed computing environment have been progressing actively, recommender systems, most of which were centralized, have changed toward a peer-to-peer approach. Collaborative Filtering (CF), one of the most successful technologies in recommender systems, presents several limitations, namely sparsity, scalability, cold start, and the shilling problem, in spite of its popularity. The move from centralized systems to distributed approaches can partially improve the issues; distrust of recommendation and abuses of personal information. However, distributed systems can be vulnerable to attackers, who may inject biased profiles to force systems to adapt their objectives. In this paper, we consider both effective CF in P2P environment in order to improve overall performance of system and efficient solution of the problems related to abuses of personal data and attacks of malicious users. To deal with these issues, we propose a multi-agent framework for a distributed CF focusing on the trust relationships between individuals, i.e. web of trust. We employ an agent-based approach to improve the efficiency of distributed computing and propagate trust information among users with effect. The experimental evaluation shows that the proposed method brings significant improvement in terms of the distributed computing of similarity model building and the robustness of system against malicious attacks. Finally, we are planning to study trust propagation mechanisms by taking trust decay problem into consideration.

• Journal of Korea Multimedia Society
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• v.17 no.8
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• pp.977-987
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• 2014

Many of the recent performance evaluation of clustering schemes in wireless sensor networks considered one sink node operation and fixed sink node location without mentioning about any network application requirements. However, application environments have variable requirements about their networks. In addition, network performance is sufficiently influenced by different sink node location scenarios in multi-hop based network. We also know that sink location can influence to the sensor network performance evaluation because of changed multipath of sensor nodes and changed overload spots in multipath based wireless sensor network environment. Thus, the performance evaluation results are hard to trust because sensor network is easily changed their network connection through their routing algorithms. Therefore, we suggest that these schemes need to evaluate with different sink node location scenarios to show fair evaluation result. Under the results of that, network performance evaluation results are acknowledged by researchers. In this paper, we measured several clustering scheme's performance variations in accordance with various types of sink node location scenarios. As a result, in the case of the clustering scheme that did not consider various types of sink location scenarios, fair evaluation cannot be expected.

• Knowledge Management Research
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• v.5 no.1
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• pp.83-99
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• 2004

This research aims to verify individual and organizational factors that will affect knowledge sharing, especially in research & development organizations with a premise that knowledge sharing is one of the most important factors of successful knowledge management. Many factors which are supposed to affect knowledge sharing arc empirically investigated in this research : individual factors ((1)self esteem (2)expected contribution), organizational factors ((3)top management's will, (4)accessibility of knowledge management system (5)validity of evaluation & reward knowledge sharing, (6)trust, (7)open communication). As a result, it is found that 'expected contribution' among individual factors and 'open communication' and 'validity of evaluation & reward' among organizational factors are highly correlated with knowledge sharing. These findings suggest that enhancement of perceived expected contribution among employees and building cultures of open communication and effective evaluation & reward system for knowledge sharing will contribute to activation of knowledge sharing in the research and development organizations.