• Proceedings of the Korea Information Processing Society Conference
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• 2014.11a
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• pp.395-398
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• 2014

데스크톱 애플리케이션은 제품 활성화를 위해 제품번호나 라이선스 키, 아이디-패스워드를 이용한 인증을 활용한다. 그러나 크랙, 패치, 인증서버 우회로 인한 불법 복제 프로그램 사용 및 사용자 권한 도용이 끊이질 않고 있다. 본 논문에서는 국내외 소프트웨어 품질 향상과 정품 소프트웨어 사용 및 안전한 인증을 위해 도입해야할 기본적인 보안 요구사항을 연구하고 검증하였다.

• Journal of Digital Convergence
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• v.13 no.11
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• pp.321-329
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• 2015

The purpose of the present study is to understand the cultural aspects of the games through the logic and methods of phenomenological study for online games and to propose phenomenological research methods to many researchers performing various studies on the characteristics, addiction, culture, nature, features and types of the players. In particular, the way was investigated to study the game culture through the logic and methods of phenomenological study. Phenomenological research methods will help how to understand the game as a way to understand the cultural context of the specific and vivid life of gamers experience and human reality. This study is expected to inspire continuously more interesting and persistent phenomenological studies of many researchers with interests in the new research methods.

• Journal of Korea Game Society
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• v.15 no.4
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• pp.69-78
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• 2015

As the online game industry has been growing rapidly, more and more malicious activities to gain economic benefits have been reported as well. Game bot is one of the biggest problems in the online game industry. So we proposed a bot detection method based on the ERG theory of motivation for the first time. Most of the previous studies focused on behavior-based detection by monitoring patterns of the specific actions. In this paper, we applied the motivation theory to analyze user behaviors on a real game dataset. The result shows that normal users in the game followed the ERG theory of motivation in the same way as it works in real world. But in the case of game bots, the theory could not be applied because the game bot has specific reasons, unlike normal game users. We applied the ERG theory to users to distinguish game bot users from normal users. We detected the game bot with high accuracy of 99.78% by applying the theory.

• Korean Journal of Community Nutrition
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• v.16 no.1
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• pp.136-144
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• 2011

Assessment of quality of life (QOL) is a new method to investigate the effectiveness of dietary regimen. Particularly, diet-related QOL is the most appropriate method to estimate social and psychological problems originated from dietary regimen practice. The purpose of this study was to evaluate the diet-related QOL and the correlation between diet-related QOL and health-related QOL, and dietary regimen practice in online diabetes self-help patients who practice the dietary regimen. Sixty one subjects who intended to practice dietary regimen were recruited from online diabetes self-help community, and instructed to fill-up the self report questionnaires. Contents of questionnaire were comprised of general characteristics, clinical characteristics, dietary compliance, and dietary regimen practice. As a result, the mean score of the 'Dietary impact' among the diet-related QOL sub-scales was the lowest suggesting most of the subjects suffer from burden of dietary regimen practice. The "Dietary impact" was correlated with "Taste", "Convenience" and "Cost" (p < 0.05). "Self-care" and "Satisfaction" were positively associated with well-controlled blood glucose and dietary regimen compliance, but negatively associated with "Dietary impact". Diet-related QOL was significantly correlated with the Health-related QOL, particularly the mental and social component (p < 0.05). Diet-related QOL was negatively associated with BMI, and self monitoring blood glucose was negatively correlated with "Self-care" (p < 0.05). In conclusion, Diet-related QOL might be appropriate to evaluate the effects of dietary regimen or nutrition education. The need for dietary education of cognitive-behavioral strategies and problem-solving ability is required.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.24 no.5
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• pp.817-838
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• 2014

Test environment on the company that handles a large amount of data such as telecommunications companies and financial institutions, may not always be the same as the production environment, which is caused by conversion of important columns about information and limitation of storage capacity due to the construction cost. Therefore, SQL performance degradation that occurs when the test and production environments are not the same, which is an important cause of connecting to the unexpected failures of online transactions, and it generates financial loss of business, customer complaints, a decrease in reliability. In studies related SQL performance, it has so far been conducted mainly studies of tuning associated with DBMS Optimizer, and it has not been addressed issues of this sector. Therefore, in this paper, I verify the validity about presentation of the advanced SQL Performance-based IT application change management process, in order to prevent failures of the online transactions associated with poor performance of SQL generated by differences in test and production environments.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.21 no.5
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• pp.129-139
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• 2011

Recently by the privacy & data security law, when a user registers the online membership, we need to take action to check a progress of identification without resident registration number. On the most of websites, I-PIN is used by identification instead of the resident registration number. However, I-PIN causes dangerous situations if someone steals the ID and a password, the personal data can be easy to exposure. In this paper, we propose the OTP, which can solve all these problems by guaranteeing the identification of unlinkability. This type of method would help the process of membership registration without fixed data like ID and a password in online so it would be very useful to security of private data.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.11 no.5
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• pp.493-506
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• 2018

This paper proposes the OOPP(Optimized Online Portfolio Platform) design for the job seekers to search for the job competency necessary for employment and to write and manage portfolio online efficiently. The OOPP consists of three modules. First, JDCM(Job Data Collection Module) stores the help-wanted advertisements of job information sites in a spreadsheet. Second, CSM(Competency Statistical Model) classifies core competencies for each job by text-mining the collected help-wanted ads. Third, OBBM(Optimize Browser Behavior Module) makes users to look up data rapidly by improving the processing speed of a browser. In addition, The OBBM consists of the PSES(Parallel Search Engine Sub-Module) optimizing the computation of a Search Engine and the OILS(Optimized Image Loading Sub-Module) optimizing the loading of image text, etc. The performance analysis of the CSM shows that there is little difference in accuracy between the CSM and the actual advertisement because its data accuracy is 99.4~100%. If Browser optimization is done by using the OBBM, working time is reduced by about 68.37%. Therefore, the OOPP makes users look up the analyzed result in the web page rapidly by analyzing the help-wanted ads. of job information sites accurately.

• Information Systems Review
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• v.17 no.3
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• pp.95-111
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• 2015

The recommendation system automatically provides the predicted items which are expected to be purchased by analyzing the previous customer behaviors. This recommendation system has been applied to many e-commerce businesses, and it is generating positive effects on user convenience as well as the company's revenue. However, there are several limitations of the existing recommendation systems. They do not reflect specific criteria for evaluating products or the factors that affect customer buying decisions. Thus, our research proposes a collaborative recommendation model algorithm that utilizes each customer's online product reviews. This study deploys topic modeling method for customer opinion mining. Also, it adopts a kernel-based machine learning concept by selecting kernels explaining individual similarities in accordance with customers' purchase history and online reviews. Our study further applies a multiple kernel learning algorithm to integrate the kernelsinto a combined model for predicting the product ratings, and it verifies its validity with a data set (including purchased item, product rating, and online review) of BestBuy, an online consumer electronics store. This study theoretically implicates by suggesting a new method for the online recommendation system, i.e., a collaborative recommendation method using topic modeling and kernel-based learning.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.20 no.6
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• pp.97-109
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• 2010

Although the primary liability for online copyright infringement may fall on the individual who illegally copies, transfers, and/or distributes the copyrighted content, the issue of indirect liability for Online Service Providers (OSPS) that provide a channel for the distribution of illegal content has recently come under the spotlight. Currently, in an effort to avoid liability for indirect copyright infringement and improve their reputation, most OSPs have voluntarily applied filtering technology. Under the Copyright Act of Korea, special types of OSPS including P2P and Web-based Hard Drive (WebHard) are required to incorporate filtering technology, and may be charged with penalties if found without one. However, despite the clear need for filtering mechanisms, several arguments have been set forth that question the efficacy and appropriateness of the system. As such, this paper discusses the liability theory adopted in the US. -a leader in internet technology development-and analyzes the scope of liability and filtering related regulations in our copyright law. In addition, this paper considers the current applications of filtering as well as limits of the applied filtering technology in OSPS today. Finally, we make four suggestions to improve filtering in Korea, addressing issues such as clarifying the limits and responsibilities of OSPS, searching for cooperative solutions between copyright holders and OSPS, standardizing the filtering technology to enable compatibility among different filtering techniques, and others.

• Informatization Policy
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• v.27 no.1
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• pp.36-54
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• 2020

This study empirically analyzes the impact of digital divide between digital device usage motivation and operational skills on online political participation. The analysis was performed using the National Information Society Agency's 2018 digital divide survey data from September to December 2018 and applying the Heckman selection model to control the sample selection bias that may occur between internet users and non-users. The result shows the gap in motivation and device operational skills of individual citizens using digital devices has significant impact on online political participation. In socio-economic terms, it shows the age, education level and regional factors also have significant impact on online political participation, while gender and income levels do not. This study holds significance in that there are different patterns of digital divide between digital devices, identifying the motivation to use a digital device as an important factor for mobile device users, and the device operational skills, for personal computer users.