• Journal of Convergence for Information Technology
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• v.10 no.11
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• pp.40-46
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• 2020

Safe security technology is required for the startup ecosystem according to the construction and service of a joint open platform in the financial sector. Financial industry standard open API recommends that payment-related fintech companies develop/apply additional security technologies to protect core API authentication keys in the mutual authentication process. This study proposes an enhanced API security protocol using multiple channels. It was designed in consideration of the compatibility of heterogeneous platforms by further analyzing the problems and weaknesses of existing open API related research. I applied the method of concealment to remove the additional security channels into a single channel of the existing security protocols. As a result of the performance analysis, the two-way safety of the communication session of the multi-channel and the security of the man-in-the-middle attack of the enhanced authentication key were confirmed, and the computational performance of the delay time (less than 1 second) in the multi-session was confirmed.

• Proceedings of the Korea Society for Industrial Systems Conference
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• 2007.02a
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• pp.213-223
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• 2007

E-Business Platform for SMEs in GMS Countries(GMSEB) is a E-business service portal which based on Yunnan, face to ASEAN, connect with China's mainland. lt is established by Kunming Dongxun Sic&Tech Co.,Ltd and E-Business Centre of Yunnan University of Financial & Economics, who get supports from UNESCAP, Science and Technology Department of Yunnan Provincial and Yunnan SMEs Bureau. The portal will bulid a B2B & B2C E-business and. ASP portal to provide service of e-business and enterprise management informatization according with the different languages and situation to China and GMS countries. The paper starts with analysis of the policy in China of promoting GMS cooperation and exchanges, importance of Yunnan and cultural universality in GMS countries. It expounds the necessity of establishing such a regional e-commerce platform. The project explores how to develop the model of e-business and enterprise management informationization for SMEs under the condition of weak economic strength and scarcity of Information Technology talents. To promote the SMEs in GMS countries participate in the integration with the global economy through the international SMEs'E-business Platform, make a fairly rapid progress by full play to its advantages.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.15 no.4
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• pp.25-31
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• 2015

FinTech(Financial Technology) is defined as the technique to create efficient financial services using IT technologies. FinTech is an innovative technology through IT platform and big data, and is expected to improve the security and problems of the conventional banking system. Domestic financial institutions has introduced the technologies and investment in order to provide safe and effective services to users. However, In the financial environment, information disclosure and security incident has occurred so they has lost the trust from their customers. Moreover new variant of the security threats and attack techniques have occurred. Therefore, in this paper, we designed a authentication scheme for secure payment system in FinTech environment. The proposed study evaluated the stability of the existing security systems with respect to attack methods occurred in the financial environment.

• Journal of Information Processing Systems
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• v.15 no.6
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• pp.1306-1325
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• 2019

As the world is moving towards digitization, data is generated from various sources at a faster rate. It is getting humungous and is termed as big data. The financial sector is one domain which needs to leverage the big data being generated to identify financial risks, fraudulent activities, and so on. The design of predictive models for such financial big data is imperative for maintaining the health of the country's economics. Financial data has many features such as transaction history, repayment data, purchase data, investment data, and so on. The main problem in predictive algorithm is finding the right subset of representative features from which the predictive model can be constructed for a particular task. This paper proposes a correlation-based method using submodular optimization for selecting the optimum number of features and thereby, reducing the dimensions of the data for faster and better prediction. The important proposition is that the optimal feature subset should contain features having high correlation with the class label, but should not correlate with each other in the subset. Experiments are conducted to understand the effect of the various subsets on different classification algorithms for loan data. The IBM Bluemix BigData platform is used for experimentation along with the Spark notebook. The results indicate that the proposed approach achieves considerable accuracy with optimal subsets in significantly less execution time. The algorithm is also compared with the existing feature selection and extraction algorithms.

• Journal of Service Research and Studies
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• v.10 no.1
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• pp.17-31
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• 2020

Open banking, the global trend of the financial industry, is the driving force behind various innovations in the financial market in the future. The right policy direction and detailed tasks are important for triggering the differentiation and reunion of the financial industry. The purpose of this study is to investigate and analyze the background of open banking, domestic and international trends, and Korea's open banking policy. The policy directions and tasks for successful settlement and activation of open banking system are carefully suggested. Open banking is a policy to allow third party provider(TPP) access to bank accounts and open payment functions under the explicit consent of the customer. The opening of the open banking era is expected to begin competition and cooperation between banks and fintech companies in earnest, thus enhancing the competitiveness of the financial industry and contributing to the utility of financial consumers. To this end, policymakers should make every effort to advance open-ended financial settlement infrastructure, open banking legal grounds, and minimize side effects such as customer data leakage and poor financial system stability. Banks and fintech companies will need to focus on scattered customer financial information on a single platform and develop it into a convergence and discrimination of true financial services.

• Asia pacific journal of information systems
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• v.28 no.4
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• pp.308-319
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• 2018

This paper aims at providing valuable insights on Financial Fraud Detection on a mobile money transactional activity. We have predicted and classified the transaction as normal or fraud with a small sample and massive data set using Azure and Spark ML, which are traditional systems and Big Data respectively. Experimenting with sample dataset in Azure, we found that the Decision Forest model is the most accurate to proceed in terms of the recall value. For the massive data set using Spark ML, it is found that the Random Forest classifier algorithm of the classification model proves to be the best algorithm. It is presented that the Spark cluster gets much faster to build and evaluate models as adding more servers to the cluster with the same accuracy, which proves that the large scale data set can be predictable using Big Data platform. Finally, we reached a recall score with 0.73, which implies a satisfying prediction quality in predicting fraudulent transactions.

• Proceedings of the Korea Society of Information Technology Applications Conference
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• 2002.11a
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• pp.136-160
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• 2002

Most important to financial is to provide well designed and built services to the customers by accessing their core bank systems and affiliated systems in their partners. This will be essential to introduce new products and services and still be able to count on legacy and collaborative affiliated systems. Winning the war on such service competitions among financial institutions is attainable by seizing the 'e-bank' opportunities in B2Bi and CRM ( Customer Relationship Management ). Such application integrations among systems and 'e-bank' services need to be available in the new IT environment.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.32 no.1
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• pp.141-154
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• 2022

In the data economy era, various policies are being implemented to create an active data distribution environment. In South Korea, the formation of a big data distribution platform and data trading began with the launch of the Financial Data Exchange under public data governance. In the case of major advanced countries in the data field, they have built a data distribution environment based on the data broker industry for decades and have strengthened national data competitiveness through added values generated from the industry. However, behind the active data distribution through data brokers, there are numerous information security issues, which have resulted in various privacy issues and national security threats. These problems can occur sufficiently in the process of domestic financial data exchange. In our study, we analyzed various information security issues of data trading caused by data brokers and derived information security requirements to be considered when trading data. We verified whether information security requirements are well reflected in the information security policy for each transaction stage of the domestic financial data exchange. Based on the verification, measurements to strengthen information security for financial data exchange are presented in our paper.

• Knowledge Management Research
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• v.23 no.1
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• pp.149-164
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• 2022

This paper analyzes the independent financial advisory business that is not yet active in Korea and proposes a plan to activate the independent financial advisory business using fintech technology. A bill was enacted in 2017 for the domestic independent financial advisory business, but it has not been activated much until now for various reasons. Although existing studies have proposed solutions in various ways, there is no clear solution yet. This paper proposes a new method of revitalizing the independent financial advisory business through fintech technology using the trust system that has recently attracted attention. Digital securities fintech technology using blockchain distributed ledger technology presents new possibilities in the real estate and music copyright markets, and related fintech venture companies continue to emerge in Korea. By combining these digital securities fintech technologies and the business process of ETF, a method was derived so that independent financial advisors can have their own financial products. The proposed model is more decentralized than the existing financial product sales structure, and presents the possibility of a protocol economy through a structure close to a private blockchain while complying with the existing financial order. This paper is meaningful in that it presented new solutions to completely different markets from information convergence perspectives on two completely different markets, and we hope that more business solutions will emerge through knowledge management activities that converge various perspectives in the future.

• Journal of Distribution Science
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• v.18 no.10
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• pp.15-23
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• 2020

Purpose: Crowdfunding can be a complementary channel in which start-ups or small companies can obtain financial help and take advantage of exploiting the online potential. To activate crowdfunding, it is necessary to consider a consumer's empathic responses. This article examines the role of empathy in the crowdfunding channel platform. We adopted the identification-commitment model to prove the role of empathy. Research design, data, and methodology: Participants were asked to read the charitable crowdfunding campaign. More than 300 young adults completed an online questionnaire and we analyzed it with structural equation modeling (SEM). To find out the role of empathy, we postulate several models which use empathy variable for different purposes. Results: We conclude that empathy has the role of moderator in the identification-commitment model. This means the high empathic response helped the relationship between identification and commitment. However, low empathic response can negatively influence the process of identification to commitment. Conclusions: This study found that virtual empathy is positively related to crowdfunding participation if we can elevate empathy in the crowdfunding channel platform. The findings also show that we need to consider empathic response when we want to raise funds for specific projects such as protecting the natural environment.