• Journal of Computing Science and Engineering
• /
• v.5 no.1
• /
• pp.51-70
• /
• 2011

This paper introduces a new credit card payment scheme called No Number Credit Card that can significantly reduce the possibility of credit card fraud. The proposed payment system is loosely based on Kerberos, a cryptographic framework that has stood the test of time. In No Number Credit Card, instead of card numbers, only payment tokens are exchanged between the customers and merchants. The tokens are generated based on the payment amount, payment type, client information, and merchant information. However, it does not contain the credit card number, so the merchant or a database hacker cannot acquire and illegally use any credit card numbers. The No Number Credit Card system is ideal for online e-commerce transactions and can be used with any credit card that users possess. It can be used with minor modifications to the current card payment system. We provide the principles of its operation through scenario analysis, a sample implementation, and a security analysis

• Journal of Families and Better Life
• /
• v.25 no.3 s.87
• /
• pp.169-185
• /
• 2007

The purpose of this research is to analyze Korean and Japanese junior high school and high schools students to inquire into the attitudes these students have towards credit, the importance of credit related education, and the necessity of education on online credit. This will provide an insight into the problems associated with teenage credit related consumer education, and allow a solution to be brought up. The results of the research and the proposal are as follows. First, younger Korean teenagers are more passive in consumption than the same age group in Japan. Second, for Korean teenagers, the amount of allowance and savings were an important factor in the attitude towards credit. In Japan there was a discrepancy between gender groups in the attitude towards credit. Third, personal education sessions for teenagers and follow up is necessary. Fourth, since the current teenage population have been familiar with the internet all their lives, credit education should utilize this medium as a tool. Fifth, when looking into the requests Korean and Japanese young teenagers made on credit web sites, the contents and quality of information is more important than the outlook of the site itself. Sixth, there is a need to provide teenagers, who are accustomed to visual data, information, an experience opportunity, and access to related web sites.

• Journal of Information Processing Systems
• /
• v.11 no.2
• /
• pp.173-183
• /
• 2015

At present, it is simple to the electronic commerce credit scoring model, as a brush credit phenomenon in E-commerce has emerged. This phenomenon affects the judgment of consumers and hinders the rapid development of E-commerce. In this paper, that E-commerce credit evaluation model that uses a Gaussian density function is put forward by density test and the analysis for the anomalies of E-commerce credit rating, it can be fond out the abnormal point in credit scoring, these points were calculated by nonlinear credit scoring algorithm, thus it can effectively improve the current E-commerce credit score, and enhance the accuracy of E-commerce credit score.

• IE interfaces
• /
• v.20 no.4
• /
• pp.448-457
• /
• 2007

The small & micro business has the characteristics of both consumer credit risk and business credit risk. In predicting the bankruptcy for small-micro businesses, the problem is that in most cases, the financial data for evaluating business credit risks of small & micro businesses are not available. To alleviate such problem, we propose a bankruptcy prediction mechanism using the credit card sales information available, because most small businesses are member store of some credit card issuers, which is the main purpose of this study. In order to perform this study, we derive some variables and analyze the relationship between good and bad signs. We employ the new statistical learning technique, support vector machines (SVM) as a classifier. We use grid search technique to find out better parameter for SVM. The experimental result shows that credit card sales information could be a good substitute for the financial data for evaluating business credit risk in predicting the bankruptcy for small-micro businesses. In addition, we also find out that SVM performs best, when compared with other classifiers such as neural networks, CART, C5.0 multivariate discriminant analysis (MDA), and logistic regression.

• The KIPS Transactions:PartC
• /
• v.9C no.3
• /
• pp.351-358
• /
• 2002

Recently, personal business styles have been rapidly changed into e-business due to the rapid progress and deployment of Internet. As a result of the change, new and safe ways of payment such as electronic wallet, electronic money and electronic check have been developed and introduced. In this paper a secure and user-friendly payment method is addressed. One of most important reasons why newly developed safe payment methods are not widely used in e-business is lack of convenience for the users. On the other hand credit card based payment, which is traditional one, is the most prevailing due to the user-friendliness. However this payment also has some problem in sense of security. In this paper, we design and implement a secure credit card-based payment system using one-time credit information. The main features are "payment information must be new", "can use the old credit system", and "do not require client software".

• The Journal of the Korea Contents Association
• /
• v.10 no.2
• /
• pp.361-371
• /
• 2010

This paper analyses the information contents of the trade credit in Korea. Trade credit is not only a settlement device in business cycle but also an information messenger in the financial market with an asymmetric information. The empirical results support that in addition to the bank loan, trade credit takes a significant role in that it provide a cheap and reliable credit to firms that have financial difficulties because of the information problem.

• Information Systems Review
• /
• v.4 no.2
• /
• pp.361-376
• /
• 2002

This paper proposes a framework for integrated credit risk management system in domestic bank financial institutions. Credit evaluation system, loan processing system, credit monitoring system, and credit risk management system are integrated for efficient and effective risk-adjusted performance management in this framework. Risk exposures, not only for each credit, but also for bank's whole credit portfolio need to be measured and analyzed through the concept of Value-at-Risk (VaR). The effects of changes in credit ratings of individual loaners on bank's credit risk exposure are also considered. We tried to model this integrated credit risk management system by using object-oriented modeling language, UML.

• The Journal of Asian Finance, Economics and Business
• /
• v.6 no.2
• /
• pp.25-32
• /
• 2019

In the Korean capital market, there are three credit rating agencies. Potential credit ratings based on credibility in the financial market are calculated independently for each rating agency. It often happens that despite the fact that the grades of the rating agencies are the same and have the same rating system, their actual ratings are different, even for the same firm. In such circumstances, investors may wonder why. In this study, we assume that the cause is the information environment in which the company operates. The credit ratings of rating agencies are mainly classified into bonds or commercial papers. The bonds are rated primarily for long-term of three years or more, and commercial papers specify ratings for less than one year. The information environment to be verified in this study was observed with a commercial paper. Under the assumption the larger the analyst following is, the more transparent is the information environment, we analyzed the influence of the number of analysts following on the degree to which ratings conflicted among credit rating agencies. The results of our analysis confirmed that opinion conflict among credit rating agencies is clearly reduced for companies with good information environments.

• Korean Journal of Human Ecology
• /
• v.7 no.4
• /
• pp.71-81
• /
• 2004

This study was to understand the credit economic society and the frequency of credit use, and to suggest the method of home management in credit economic society. First of all, the consumer education of credit will have to convenience the utilization of consumer education, to supply the information of credit value and a contract thinking, and to develop the variety of media and tools in consumer education.

• Journal of Digital Convergence
• /
• v.15 no.1
• /
• pp.199-208
• /
• 2017

This study investigates the components and rating system of reliable technology credit information for a technology finance donor who is a consumer of the information and aims to create an effective and optimal technology credit appraisal system to enlarge technology finance supply. Firstly, we calculate the optimal TCAR which becomes the maximum AUROC through the combination of ratio change, verify the substitution possibility between TAR and CR through the existing CR and system gap simulation, and propose a rating system by which financial institutes can utilize the TCAR as a credit rating. As a result, 70% : 30% is the most suitable as the weighted combination ratio of credit rating : technology rating. As a result of this study, we confirmed the possibility that the technical credit rating information could be substituted by the credit rating or the technology appraisal rating. Furthermore, it also suggests that sophisticated risk management is possible through using technology credit rating that are combined with credit and technology appraisal rating.