• Journal of Information Processing Systems
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• v.8 no.3
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• pp.495-520
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• 2012

A secure Electronic Payment System (EPS) is essential for the booming online shopping market. A successful EPS supports the transfer of electronic money and sensitive information with security, accuracy, and integrity between the seller and buyer over the Internet. SET, CyberCash, Paypal, and iKP are the most popular Credit Card-Based EPSs (CCBEPSs). Some CCBEPSs only use SSL to provide a secure communication channel. Hence, they only prevent "Man in the Middle" fraud but do not protect the sensitive cardholder information such as the credit card number from being passed onto the merchant, who may be unscrupulous. Other CCBEPSs use complex mechanisms such as cryptography, certificate authorities, etc. to fulfill the security schemes. However, factors such as ease of use for the cardholder and the implementation costs for each party are frequently overlooked. In this paper, we propose a Web service based new payment system, based on ANSI X9.59-2006 with extra features added on top of this standard. X9.59 is an Account Based Digital Signature (ABDS) and consumer-oriented payment system. It utilizes the existing financial network and financial messages to complete the payment process. However, there are a number of limitations in this standard. This research provides a solution to solve the limitations of X9.59 by adding a merchant authentication feature during the payment cycle without any addenda records to be added in the existing financial messages. We have conducted performance testing on the proposed system via a comparison with SET and X9.59 using simulation to analyze their levels of performance and security.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.27 no.6
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• pp.1419-1429
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• 2017

Recently, environment based authentication technique had proposed reinforced authentication, which generating statistical model per user after user login history classifies into account takeover or legitimate login. But reinforced authentication is likely to be attacked if user was not attacked in past. To improve this problem in this paper, we propose unconsciousness authentication technique that generates 2-Class user model, which trains user's environmental information and others' one using machine learning algorithms. To evaluate performance of proposed technique, we performed evasion attacks: non-knowledge attacker that does not know any information about user, and sophisticated attacker that only knows one information about user. Experimental results against non-knowledge attacker show that precision and recall of Class 0 were measured as 1.0 and 0.998 respectively, and experimental results against sophisticated attacker show that precision and recall of Class 0 were measured as 0.948 and 0.998 respectively.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.16 no.2
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• pp.1064-1072
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• 2015

This study attempted to identify the motivational factors for using athletes' SNS among Chinese sports fans. The researchers posted a hyperlink of an online survey on a total of 8 Chinese Olympians' SNS(Weibo) accounts after obtaining the athlete's approval. A total of 274 surveys were gathered from the visitors of SNS. Of the 274 surveys, 33 were discarded because of missing values. Confirmatory factor analysis and structural equation modeling revealed the following. Diversion, pass-time, athlete support, and technical knowledge were significantly and positively related to social media consumption while information, socialization, and fanship had no significant predictive effect on social media consumption.

• KIISE Transactions on Computing Practices
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• v.21 no.10
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• pp.623-630
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• 2015

In this paper, the design and implementation of an automatic reference-citation-mark attachment system are introduced. The system automatically attaches a citation mark to the end of a sentence in a technical document if the corresponding statement has a high similarity to another statement in the same document; simultaneously, the corresponding bibliographic data is automatically created from the cited-document information. In accordance with functional specifications, a Web-based, online service model and the development of its prototype system are proposed. The developed system can help in the elimination of unexpected plagiarism issues, and will alleviate the burdens of reference citation and reference-list creation for technical writers.

• Journal of KIISE:Computing Practices and Letters
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• v.11 no.2
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• pp.180-191
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• 2005

The rapid growth of mobile communication technology has provided the expansion of mobile internet services, particularly mobile commerce takes much weight among them. Even though current mobile commerce service has serious problems which check its development, such as limited contents, expensive charge system and hardware restriction of mobile device, it is strongly expected as one of the next generation Internet services. In this paper, we summarize the problems like above and provide some total solution to meet them as follows: a function for automatic gathering of product information on online Internet and automatic translation it to data for mobile commerce, a middlelet application which provides functions for product search and order on the mobile device through off-line processing, and a function of user adaptive recommendation. We have actually designed and implemented the proposed system and verified the functions and effectiveness of the system.

• Journal of Korean Society of Transportation
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• v.28 no.2
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• pp.53-64
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• 2010

This study is aimed at identifying the association of change of travel frequencies with information and communications technologies, commuting behavior for 995 workers in the Korea Capital Region. The study surveyed total 995 commuters whose their individual character, commuting behavior, land use as well as ICTs. The measures of the commuting behavior was comprised of a main commuting mode, a use tern, total travel time, and those of land use was the distance from house/office to subway station, and those of ICTs was data and information collection, communication and leisure, online selling or purchases, finance and a civil application, cellular phone service using capacity and so on. The results indicate that commuting behavior, land use, and ICTs are positively associated to change of travel frequencies. Specifically, longer total travel time, or far from house/office to subway station, tend to reduce commuting behavior and collect data and information through internet

• The Journal of the Korea Contents Association
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• v.17 no.5
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• pp.18-33
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• 2017

The purpose of this study was to examine the effect sizes of personal, family, peer, school, cyber environment, experience of bullying/victimization factors on cyberbullying perpetrating behavior among students in Korea using meta-analysis. Published academic journals and master/doctoral dissertations from 2010.01.01 to 2016.10.31 were identified using Research Information Sharing Service(RISS) data base. Keywords for search were cyberbullying, cyber-exclusion, cyber-violence, cyber-harassment, online/SNS peer harassment. A total of 43 studies were selected for meta-analysis. Personal factors and experience of bullying/victimization showed moderate effect sizes(0.28~0.29) and peer, family, cyber environment, school domains showed small effect sizes(0.08~0.13). Results of the study may be used to guide effective prevention or intervention strategies against cyberbullying among adolescents.

• Journal of Korea Multimedia Society
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• v.16 no.3
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• pp.375-387
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• 2013

Advanced internet service and smart equipment have caused an environment supporting various online learning anytime and anywhere, which requires learning contents optimized on a new media. Among various on/off line education related to IT, most part if it is office SW. Many oh them cannot make a good education for effective training in practical because many instructors are tend to focus on teaching simple function and use examples of formality repeatedly. In this paper we propose a new office SW education system that make use of LET(Live EduTainer) based on RTE(Real Training Environment) which maximize the effect of learning and it is integrated with GBL(Game Based Learning) which gives rise to interesting in a knowledge as well as simple teaching so that learners are absorbed on it. We'll elaborate a method for teaching and learning required in this system, design and configuration of the system.

• Journal of KIISE:Computing Practices and Letters
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• v.16 no.10
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• pp.1010-1014
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• 2010

Article-related product recommender system is an emerging e-commerce service which recommends items based on association in contexts between items and articles. Current services recommend based on the similarity between tags of articles and items, which is deficient not only due to the high cost in manual tagging but also low accuracies in recommendation. As a component of novel article-related item recommender system, we propose a new method for tagging item images based on pre-defined categories. We suggest a hypernetwork-based algorithm for learning association between images, which is represented by visual words, and categories of products. Learned hypernetwork are used to assign multiple tags to unlabeled item images. We show the ability of our method with a product set of real-world online shopping-mall including 1,251 product images with 10 categories. Experimental results not only show that the proposed method has competitive tagging performance compared with other classifiers but also present that the proposed multi-tagging method based on hypernetworks improves the accuracy of tagging.

• Journal of the Korea Society of Computer and Information
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• v.25 no.6
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• pp.81-89
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• 2020

Online reviews we encounter commonly on SNS, although a complex range of assessment information affecting the consumer's preferences are included, it is general that such information is just provided by simple numbers or star ratings. Based on those review types, it is not easy to get specific information that consumers want and use it to make a decision for purchase. Therefore, in this study, we propose a prediction methodology that can provide ratings broken down by evaluation items by performing sentiment analysis on restaurant reviews written in Korean. To this end, we select 'food', 'price', 'service', and 'atmosphere' as the main evaluation items of restaurants, and build a new sentiment dictionary for each evaluation item. It also classifies review sentences by rating item, predicts granular ratings through sentiment analysis, and provides additional information that consumers can use to make decisions. Finally, using MAE and RMSE as evaluation indicators it shows that the rating prediction accuracy of the proposed methodology has been improved than previous studies and presents the use case of proposed methodology.