• Journal of Digital Convergence
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• v.19 no.7
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• pp.147-154
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• 2021

The pandemic age came to us after the COVID19 broke out in the early of 2020, which resulted in many changes in our everyday life. One of the changes is non-contact transactions in economic activities, especially contact-free financial transactions are ever-increasing activities in the pandemic age. In non-contact financial transactions, security and trust are important issues that users are concerned about the most. So the paper examines how security and trust have effects on the attitudes of bank customers who use mobile banking applications on their smartphones. The study conducted factor ananlysis to extract research constructs using survey data gathered during Nobember of 2020 through February of 2021 across the nation. After extracting the constructs, the study checked validity, sampling adequacy, and internal reliability with KMO, Bartlett's test, and Crombach Alpha respectively. To make sure the purpose of the study, I do regression analysis. All factors of attitude had impacts on willingness on both of transactions and purchasing financial products. The results could give guidelines banks which want to attract more customers in open-banking environment through ever-more secure and trusty mobile banking application.

• Journal of Service Research and Studies
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• v.12 no.2
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• pp.65-79
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• 2022

Non-face-to-face classes continue due to Covid-19. There have been e-learning classes since the past, but the difference is that the current non-face-to-face classes are blended classes that combine real-time and recording classes or combine face-to-face and non-face classes. It is also characterized by being able to self-filmed or choose various lecture platforms in a place other than a dedicated studio. The advantages of non-face-to-face classes can be learned beyond time and space, and repetitive viewing and learning speed can be adjusted. Greening classes have no time and place constraints, and real-time classes have the advantage of high communication effects with learners. Evaluating whether non-face-to-face classes provide sufficient quality compared to face-to-face classes or e-learning will be necessary if branded classes are considered for post Covid. In this paper, for the evaluation of the service quality of non-face-to-face classes, the essential attributes desired by the instructors were derived from the viewpoint of Kano quality attributes and a quality improvement plan was proposed. After expressing the degree of functions that non-face-to-face classes should have on the X-axis and the satisfaction of learners on the Y-axis, 23 quality attributes were classified into 6 quality dimensions. In addition, satisfaction coefficient, dissatisfaction coefficient, and customer satisfaction improvement index were derived. As a result, 50% of learners were satisfied with non-face-to-face classes, but the preference was slightly higher than satisfaction, suggesting the sustainability of non-face-to-face classes. In terms of the customer satisfaction improvement index, the ranking of attributes with the largest increase in satisfaction when improving class quality was as follows. Professors' quick answers to learners' questions, content that can fully explain the subject, what the professor explains easily, develop high-quality content that can be learned on mobile phones, fairness of attendance checks, and real-time classes should start on time.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.05a
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• pp.232-234
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• 2022

Big data is widely used in customer relationship management, relationship marketing, financial business improvement, credit information and risk management. Moreover, as non-face-to-face financial transactions have become more active recently due to the COVID-19 virus, the use of financial big data is more demanded in terms of relationships with customers. In terms of customer relationship, financial big data has arrived at a time that requires an emotional rather than a technical approach. In relational marketing, it was necessary to emphasize the emotional aspect rather than the cognitive, rational, and rational aspects. Existing traditional financial data was collected and utilized through text-type customer transaction data, corporate financial information, and questionnaires. In this study, the customer's emotional image data, that is, atypical data based on the customer's cultural and leisure activities, is acquired through SNS and the customer's activity image is analyzed with an artificial intelligence CNN algorithm. Activity analysis is again applied to the annotated AI, and the AI big data model is designed to analyze the behavior model shown in the annotation.

• 한국벤처창업학회:학술대회논문집
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• 2020.11a
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• pp.127-130
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• 2020

금융시장 환경이 점차 변화하고 있다. 흔히 지점이라 불리는 오프라인 환경에서 애플리케이션을 이용하거나 웹페이지를 이용하는 온라인 비대면 환경으로 이동함에 따라 기존의 정형 정보를 중심으로 한 소비자 행동 예측 방법보다 더 나은 방법을 모색하기 이르렀다. 이에 따라 주관적 비정형 정보의 중요하게 된 것이다. 본 연구는 비대면 대출시장에서 주관적 비정형 정보의 하나인 SNS 프로필 사진과 대출상환에 영향을 미치는 변인을 파악하는 것을 목표로 한다. SNS 프로필 사진은 자신의 감정이나 상태를 표현하는 도구로 떠오르고 있으며, 이러한 차입자의 SNS 프로필사진을 분석함으로써 정보비대칭의 최소화로, 대출심사를 위한 신용평가에 유의적 요소들을 규명하는데 목적이 있다. 본 연구에서는 대출자들이 차입자에 대한 평가의 중요 고려 요소들을 규명하고 탐색하는데 초점을 맞춰 SNS 대안 신용평가만을 심사기준으로 이용한 대출인 텐스페이스의 AI LOAN 대출자중에서 2020년 2월부터 2020년 2월까지 대출자료를 확보할 예정이다. 이러한 자료 중에서 2020년 12월 30일을 기준으로 상환기일이 도래한 대출상환 자료 중 SNS사진을 순서형 로짓회귀모형을 이용해 분석하고자 한다.

• Convergence Security Journal
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• v.23 no.1
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• pp.9-17
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• 2023

Due to COVID-19, the concept of Zero Trust, a safe security in a non-face-to-face environment due to telecomm uting, is drawing attention. U.S. President Biden emphasized the introduction of Zero Trust in an executive order to improve national cybersecurity in May 2021, and Zero Trust is a global trend. However, the most difficulty in introd ucing new technologies such as Zero Trust in Korea is excessive regulation of cloud and network separation, which is based on the boundary security model, but is limited to not reflecting all new information protection controls due to non-face-to-face environments. In particular, in order for the government's policy to ease network separation to b ecome an effective policy, the zero trust name culture is essential. Therefore, this paper aims to study legal improve ments that reflect the concept of zero trust under the Electronic Financial Transactions Act.

• Proceedings of the Korea Society for Industrial Systems Conference
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• 2008.10b
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• pp.37-42
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• 2008

최근 구축된 정보통신인프라를 이용한 금융수단이 보편화됨에 따라 금융인프라 역시 과거 ATM단말기나 FEDI 수준을 넘어서 급속히 본격화되고 있으며, 2000년대 이후 전자결제의 이용이 상당부분 보편화되고 있다. 이미 우리나라의 경우에도 전자화폐의 사용이 도입초기를 넘어서 상당부분 보편화 단계로 접어들고 있으며, 상법의 개정과 전자금융거래법의 신규제정 등 다양한 법적 기반 역시 어느 정도 정착단계에 정착되고 있다. 그럼에도 불구하고 비대면의 거래에서 발생할 수 있는 각종 문제점이 완벽하게 해결되었다고 보기는 어렵다. 이에 본 연구에서는 우리나라의 전자화폐 활용 현황 살펴보고 일본, 싱가포르의 최근 현황을 주요국의 선진사례로서 살펴본다. 이러한 선진국의 사례가 주는 시사점을 검토하고 이를 통하여 우리나라의 전자화폐 활용상의 활성화에 장애가 되는 요인을 규명함으로써 활성화 전략을 모색해 본다. 그리고 이와 함께 최근 야기되고 있는 각종 법적 문제점을 규명하고 대안을 발굴하는 방안도 함께 모색해 본다.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.26 no.6
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• pp.1513-1526
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• 2016

Since finance companies started e-banking services, those services have been diversified and use of them has continued to increase. Finance companies are implementing financial security policy for safe e-banking services, but e-Banking incidents are continuing to increase and becoming more intelligent. Along with the rise of internet banks and boosting Fintech industry, financial supervisory institutes are not only promoting user convenience through improving e-banking regulations such as enforcing Non-face-to-face real name verification policy and abrogating mandatory use of public key certificate or OTP(One time Password) for e-banking transactions, but also recommending the prevention of illegal money transfer incidents through upgrading FDS(Fraud Detection System). In this study, we assessed a blacklist based auto detection method suitable for overall situations for finance company, a real-time based suspicious transaction detection method linking with blacklist statistics model by each security level, and an alternative FDS model responding to typical transaction patterns of which information were collected from previous e-Banking incidents.

• The Journal of Society for e-Business Studies
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• v.19 no.4
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• pp.119-134
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• 2014

Financial companies are providing electronic financial transactions through a variety of user terminals for non-face-to-face services such as Internet banking, smart phone banking, or etc. However, in these services users' security awareness and the limitations of technical responses has frequently caused the financial loss so that fundamental protection measures are required from financial authorities. Accordingly, financial industry is planning and establishing systems that block unusual financial transactions by comprehensively analyzing and detecting user's electronic information, access information, transaction information, and so on in accordance with "Guide for building Unusual financial transactions detection system" to prevent the financial loss that happens in electronic financial transactions. In this paper, we analyze case studies of unusual financial transactions detection and prevention system that is built and operated in financial companies and current operating status and propose effects of the accident prevention and security measures later.

• Proceedings of the Korea Information Processing Society Conference
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• 2015.04a
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• pp.366-369
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• 2015

온라인 전자 상거래 시장은 인터넷의 발전과 그 편의성으로 인하여 지속적으로 시장 규모가 커지고 있다. 비대면 결제방식인 온라인 전자결제 방식은 오프라인 결제 방식에 비해 높은 수준의 안전성이 요구된다. 결제정보가 노출된다면 공격자는 타인의 결제정보를 이용하여 불법적인 결제가 가능할 것이다. 현재 사용되고 있는 온라인 결제 시스템들은 결제정보를 안전하게 전송하기 위한 프로토콜을 구성하고 있지만 실제 해킹을 통한 결제정보 유출로 인해 최근 몇 년간 다수의 금융사고들이 일어나고 있다. 본 논문은 Two-Session 결제 방식을 이용해 국내 온라인 결제 시스템을 보완하여 향상된 보안성으로 결제정보를 전송하여 결제정보의 유출을 예방하고 기존 시스템 대비 높은 사용자 편리성을 가지는 시스템을 제안한다.

• Journal of Digital Convergence
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• v.19 no.8
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• pp.301-310
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• 2021

The purpose of the study was to induce meaning of the UX design from users' interview. The study covers interviews from 20 untact finance application users in their twenties in written form. It aims to examine previous studies on UX design and to overcome their shortcomings by categorizing usability qualities focusing on verbs used in the interview. The followings are the result: Usability of UX design can be summarized into Unity, Trust, Persistency, Recognition and Approachability of the information to the 20 users in their twenties. As for the data earned from interviews focusing on verbs, usability included Security, Familiarity, Accessibility, Convenience of Operation and Visibility. Each of the qualities fell into related categories such as Security, Information, Brand and Design. In conclusion, analysis based on verb choices led to better understanding of the user-based experience compared to using objective means in previous studies and can be a suggestion to make up for errors in the former evaluation process.