• Review of KIISC
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• v.27 no.6
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• pp.47-56
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• 2017

최근 금융권에서는 고객의 편리성을 높이기 위해서 여러 인증 수단으로 서비스를 제공하고 있다. 본 논문은 인증 수단을 네 가지의 보증 등급으로 통제 수단에 따라 나누어 제시한다. 보증 등급을 토대로 등급별 신뢰 승급이 가능한 보안 정책을 제안하고 주로 사용될 금융서비스의 인증 수단을 강도로 나눈다. 또한, 신뢰 승급의 활용사례를 기술하면서 안정적으로 금융서비스에서 신뢰 승급 기반으로 인증을 사용할 수 있다.

• Information Systems Review
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• v.25 no.1
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• pp.111-128
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• 2023

With the development of artificial intelligence technology, interest in data-based product preference estimation and personalized recommender systems is increasing. However, if the recommendation is not suitable, there is a risk that it may reduce the purchase intention of the customer and even extend to a huge financial loss due to the characteristics of the financial product. Therefore, developing a recommender system that comprehensively reflects customer characteristics and product preferences is very important for business performance creation and response to compliance issues. In the case of financial products, product preference is clearly divided according to individual investment propensity and risk aversion, so it is necessary to provide customized recommendation service by utilizing accumulated customer data. In addition to using these customer behavioral characteristics and transaction history data, we intend to solve the cold-start problem of the recommender system, including customer demographic information, asset information, and stock holding information. Therefore, this study found that the model proposed deep learning-based collaborative filtering by deriving customer latent preferences through characteristic information such as customer investment propensity, transaction history, and financial product information based on customer transaction log records was the best. Based on the customer's financial investment mechanism, this study is meaningful in developing a service that recommends a high-priority group by establishing a recommendation model that derives expected preferences for untraded financial products through financial product transaction data.

• Journal of the Korea Society of Computer and Information
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• v.25 no.12
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• pp.279-291
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• 2020

It has already been a few years since the word Fintech in Korea started to attract attention. These days, they believed that Fintech was just a boom, but these days it is recognized as a catalyst for financial transformation. Large venture companies are also launching demonstration experiments by creating new organizations that can respond to Fintech. It feels like a big tide is coming to the cautious and conservative financial industry. Finance is made up of digital information. Fintech is an evolutionary process in which finance, expressed by digital information, is transformed into information technology (IT) and human economic activities are reorganized. It is FinTech. You won't be able to understand the real effects of Fintech by sticking to individual applications like remittance payments or household account book services. Fintech is an innovation that changes the structure of economic activity itself. In fact, it is from now on that a big impact will come. In other words, now is the time when we are thinking of a dream that we have not yet dreamed of. In this paper, I will examine how fintech originated, spread to Korea, and how it intends to change Korea's finance in the future. Financial institutions have used the fruits of information technology advances in the direction of pursuing stability and stability, without major changes in the way they work. However, the movement of Fintech that started in Silicon Valley in the United States shows that the fruit can be used in other directions. The fruit of technological progress is expected to expand year by year in the future. It is a request of the times to use it to improve user convenience and to pursue innovation that is beneficial to society. We expect the flow of Fintech to accelerate innovation in the Korean financial industry.

• Digital Contents
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• no.12 s.7
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• pp.61-65
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• 1993

• Journal of the Korea Institute of Information Security & Cryptology
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• v.25 no.4
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• pp.881-888
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• 2015

Financial Authorities have added security controls to the Electronic Financial Transaction Act and the Supervisory Regulation according to the recent frequent personal credit information leakages. Accordingly, the security level has been upgraded. But it is necessary to study more security controls to add. This paper deduces 19 security controls over the mean value to be added to the financial area receiving 15 security consultant's help.

• Review of KIISC
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• v.29 no.2
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• pp.23-28
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• 2019

산업제어시스템은 물리적인 현장장치의 상태를 기반으로 시스템과 시스템 내부의 프로세스들을 제어, 유지하는 CPS(Cyber Physica System)으로 볼 수 있다. 하지만 IT 시스템의 유입과 더불어 IT 시스템이 보유하고 있는 보안위협 또한 상속되었고 그에 따라 IT 시스템에서 사용하는 보안 대응책을 산업제어시스템에도 적용해야 한다. 본 논문에서는 산업제어시스템과 유사한 CPS인 교통신호제어시스템의 표준규격서에 통신보안으로 규격화 되어있는 SSL VPN을 산업제어시스템에 적용할 때 만족하는 보안요구사항을 살펴보고, 더불어 산업제어시스템에서의 보안 적용 시 반드시 고려해야 하는 가용성과 관련한 성능측정 결과를 보이고 결과분석을 수행한다.

• Proceedings of the Korea Information Processing Society Conference
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• 2009.04a
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• pp.1237-1240
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• 2009

인터넷의 발달로 금융기관의 일반업무도 인터넷을 사용하여 수행되는 비중이 커짐에 따라 이를 수용하기 위한 대역폭이 확보되어야 한다. 그러나 늘어나는 트래픽을 수용하기 위한 금융권 본-지점의 통신을 위한 전용회선 등은 상대적으로 비용이 많이 들기 때문에 금융기관 본-지점간의 네트워크 구성을 위하여 물리적인 회선의 증설 대신 현재 사용중인 회선의 트래픽을 효율적으로 운영하는 등의 새로운 기법이 필요하기에 이르렀다. 이에 본 연구에서는 계속적으로 증가되고 있는 금융기관의 웹 기반의 각종 트랜잭션 트래픽을 원활하게 수용하기 위한 방안으로써 비대칭 라우팅의 개선을 통하여 영업점 네트워크 OSPF 라우팅에 대한 변형 수용으로 대역폭 Load Sharing 개선에 관한 방안을 제안하였다. 새로운 라우팅 기법을 실제환경에 적용하여 회선의 사용률이 적절하게 분산되어 사용되고 Load Sharing 성능이 향상됨을 증명하였다.

• Journal of Korea Society of Industrial Information Systems
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• v.29 no.3
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• pp.79-87
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• 2024

Recently, the importance of pre-trained language models (PLM) has been emphasized for natural language processing (NLP) such as text classification, sentiment analysis, and question answering. Korean PLM shows high performance in NLP in general-purpose domains, but is weak in domains such as finance, medicine, and law. The main goal of this study is to propose a language model learning process and method to build a financial-specific language model that shows good performance not only in the financial domain but also in general-purpose domains. The five steps of the financial-specific language model are (1) financial data collection and preprocessing, (2) selection of model architecture such as PLM or foundation model, (3) domain data learning and instruction tuning, (4) model verification and evaluation, and (5) model deployment and utilization. Through this, a method for constructing pre-learning data that takes advantage of the characteristics of the financial domain and an efficient LLM training method, adaptive learning and instruction tuning techniques, were presented.

• Annual Conference on Human and Language Technology
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• 2020.10a
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• pp.82-86
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• 2020

딥러닝 모델의 성능은 데이터의 품질과 양에 의해 향상된다. 그러나 데이터 구축은 많은 비용과 시간을 요구한다. 특히 전문 도메인의 데이터를 구축할 경우 도메인 지식을 갖춘 작업자를 활용할 비용과 시간이 더욱 제약적이다. 능동 학습 기법은 최소한의 데이터 구축으로 모델의 성능을 효율적으로 상승시키기 위한 방법이다. 다양한 데이터셋이 능동 학습 기법으로 구축된 바 있으나, 아직 전문 도메인의 한국어 데이터를 구축하는 연구는 활발히 수행되지 못한 것이 현실이다. 본 논문에서는 능동학습기법을 통해 금융 도메인의 개체명 인식 코퍼스를 구축하였고, 이를 통해 다음의 기여가 있다: (1) 금융 도메인 개체명 인식 코퍼스 구축에 능동 학습 기법이 효과적임을 확인하였고, (2) 이를 통해 금융 도메인 개체명 인식기를 개발하였다. 본 논문이 제안하는 방법을 통해 8,043문장 데이터를 구축하였고, 개체명 인식기의 성능은 80.84%로 달성되었다. 또한 본 논문이 제안하는 방법을 통해 약 12~25%의 예산 절감 효과가 있음을 실험으로 보였다.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.12 no.6
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• pp.2575-2587
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• 2011

Whereas the early financial information technology invested a large amount of investment on developing and adopting its own new systems. it is now focusing on reducing expenses and improving internal efficiency but applied for securing a company's competitive advantage considering the long term strategic level. As relevant researches, studies on information system quality and performance are actively going on. In previous research, the relations of the influence on the financial performance by information system quality or absorption capacity have been reviewed. In other words, the information system quality and absorptive capacity, respectively, in the position of the independent variables have been studied as a factor to have a significant effect on financial performance while the research on the relationship between these two variables is lacking. Thus, in this researches, quality of financial information systems and the absorptive capacity, respectively, as independent variables and parameters on the mediating effect on the financial performance were researches. As a result, quality of financial information systems showed a positive effect on the performance of company, the absorption capacity was perfect to play the role of mediating one. However, absorptive capacity as an independent variable has a positive impact on financial performance, but the quality of financial information systems as a parameter was not affected in any manner.