• KSII Transactions on Internet and Information Systems (TIIS)
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• v.15 no.11
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• pp.4163-4183
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• 2021

As measures for protecting users and ensuring security of electronic financial transactions, such as online banking, financial institutions in South Korea have implemented network segregation policies. However, a revision of such domain-centered standardized network segregation policies has been increasingly requested because of: 1) increased demand for remote work due to changes resulting from COVID-19 pandemic; and 2) the difficulty of applying new technologies of fintech companies based on information and communications technologies (ICTs) such as cloud services. Therefore, in this study, problems of the remote work environment arising from the network segregation policy currently applied to the financial sector in South Korea and those from the application of new ICTs such as fintech technology have been investigated. In addition, internal network protection policies of foreign financial sectors, such as those of the United States, United Kingdom, European Union, and Russia, and internal network protection policies of non-financial sectors, such as control systems, have been analyzed. As measures for the effective improvement of the current network segregation policy, we propose a policy change from domain-based to data-centric network segregation. Furthermore, to resolve threats of hacking at remote work, recently emerging as a global problem due to COVID-19 pandemic, a standard model for remote work system development applicable to financial companies and a reinforced terminal security model are presented, and an alternative control method applicable when network segregation is not applied is proposed.

• Journal of Industrial Convergence
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• v.22 no.6
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• pp.25-39
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• 2024

Because small and medium-sized businesses lack capabilities and resources, they must effectively procure, share, and utilize scarce resources from outside, and as a result, the importance of networks with external organizations is gradually increasing. In this study, we verified the influence of small and medium-sized enterprises' network capabilities and network characteristics on market performance and financial performance. As a result of testing the hypothesis through a structural equation model, network capabilities were found to have a significant partial impact on financial performance, and all sub-factors of network characteristics such as strength, size, and diversity were found to affect financial performance. Additionally, network capabilities and network characteristics were found to have a significant partial effect on market performance. Market performance was found to have a partial mediating effect in the relationship between network capabilities and financial performance, and a partial mediating effect in the relationship between network characteristics and financial performance. Unlike previous studies, this study simultaneously analyzed the impact of two factors, network capabilities and network characteristics, on corporate performance and presented a new research perspective by analyzing the mediating effect of market performance, which is recognized as a leading factor in financial performance.

• Journal of the Korean Operations Research and Management Science Society
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• v.38 no.4
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• pp.11-33
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• 2013

We analyzed the structures and properties of the global financial market networks using social network analysis approach. The Minimum Spanning Tree (MST) lengths and networks of the global financial markets based on the correlation coefficients have been analyzed. Firstly, similar to the previous studies on the global stock indices using MST length, the diversification effects in the global multi-asset portfolio can disappear during the crisis as the correlations among the asset class and within the asset class increase due to the system risks. Second, through the network visualization, we found the clustering of the asset class in the global financial markets network, which confirms the possible diversification effect in the global multi-asset portfolio. Meanwhile, we found the changes in the structure of the network during the crisis. For the last one, in terms of the degree centrality, the stock indices were the most influential to other assets in the global financial markets network, while in terms of the betweenness centrality, Gold, Silver and AUD. In the practical perspective, we propose the methods such as MST length and network visualization to monitor the change of the correlation risk for the risk management of the multi-asset portfolio.

• International Journal of Computer Science & Network Security
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• v.23 no.4
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• pp.103-110
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• 2023

Financial inclusion is the safe and timely access of formal financial services to people at affordable costs. Various barriers of legacy financial system hinder the involvement of all segments of populations in the financial sector. The journey from financial exclusion to financial inclusion has to be achieved with the implementation of technological breakthroughs. Covid-19 has also raised the need for technology in all sectors of the economy. This research paper introduces the concept of intelligent financial inclusion which is the provision of financial services to people with the help of intelligent systems. This intelligent system will take the concepts from the human mind, cognitive sciences, and artificial intelligence tools and techniques. For achieving the optimal level of financial inclusion, economies must shift their financial sector from traditional means to intelligent financial systems. In this way, intelligent financial inclusion will achieve the target of involving all people in the financial sector.

• The Journal of the Korea Contents Association
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• v.9 no.8
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• pp.41-48
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• 2009

As enactment and enforcement of capital markets integration law, investment banks are going to be appeared in our financial market and be able to provide payment services. To provide these kinds of services, investment banks need to be participated in the financial network. As the financial network enormously affect the economy, the operation of the network will require a variety of risk managements. In this paper we define operational risk management criteria for the financial network such as security, in-time response, economical efficiency and stability to be required for the healthy economy and propose the configuration of the financial network system based on virtual private networks for investment banks to provide payment services. Finally we analyze that the proposed VPN configuration for financial networks has high security and in-time response with the cost and operation effective.

• International Journal of Computer Science & Network Security
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• v.22 no.2
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• pp.39-46
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• 2022

The article is devoted to clarifying current trends in the digitalization of financial services. To this end, the evolution of this process in the financial sector was studied and six stages of its development were identified. The components of successful implementation of digitalization in the field of financial services and its tasks are outlined. It was found that fintech companies, which work to achieve effective interaction between the financial sector and innovative technologies in the use of mobile applications in order to most fully and quickly meet the needs of customers with financial services, are of great importance for the formation and development of digitalization in financial services. Current trends in the digitalization of financial services in Ukraine based on the use of fintech in general and banking institutions in particular are presented.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.25 no.1
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• pp.181-195
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• 2015

Financial industries have operated internal and external network with an unified system for continual business process of customers and other organizations in the past. The financial supervising authority requires more technical and managerial protecting policy to financial industries related to the exposure as danger of external attacks or information leakage. Financial industries performed network separation into internal business and external internet networks for protecting IT assets from malware infection accessing internet or hacking attacks and prohibiting leakage of customers' personal and financial information following financial supervising authority and redefine security policy to fit on network separated-condition. In this study, effectiveness for network separation policy was examined on malware inflow and verified that malware inflow in all routes can be blocked by the policy with analyzing operration data of a financial company, estimating network separation. Result of this study proves that malware infection route by portable storages was not completely blocked even on adapting network-separated condition. As a solution for this, efficient security policy would be suggested in this paper as controlling portable storages for maximizing effectiveness of network separation.

• The Journal of Society for e-Business Studies
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• v.22 no.4
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• pp.129-139
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• 2017

With the advent of FinTech, many financial services have become available in the mobile Internet environment and recently, there is an internet bank that provides all bank services online. As the proportion of financial services over the Internet increases, it offers convenience to users, but at the same time, the threat of financial network is increasing. Financial institutions are investing heavily in security systems in case of an intrusion. However attacks by hackers are getting more sophisticated and difficult to cope with. However, applying an IP Trace-back method that can detect the actual location of an attacker to a financial network can prepare for an attacker's arrest and additional attacks. In this paper, we investigate IP Trace-back technology that can detect the actual location of attacker and analyze it to apply it to financial network. And we propose a new IP Trace-back method through Infra-structure construction through simulation experiments.

• Journal of Information Technology Services
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• v.18 no.4
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• pp.83-95
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• 2019

It is becoming more and more difficult to cope with new knowledge and technology required by society by the efforts of one person or organization according to the development of science and technology. As a method to overcome this, collaborative research is becoming important. This tendency is increasing in the government R&D projects as well, and the 'A' test research institute, which is the subject of this paper, is also increasing a collaborative research. The purpose of this study is to analyze the network characteristics among the participating researchers in the government R&D project conducted by the institution A, and to ascertain how the network characters of the researchers actually affect the financial performance of the team. The results of the analysis show that 'closeness centrality' and 'degree of centrality' contribute positively to the financial performance of the team. On the other hand, 'betweenness centrality' and 'eigenvector centrality' have a negative effect on the financial performance of the team because they are not directly related to financial performance.

• Korean Journal of Artificial Intelligence
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• v.12 no.3
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• pp.17-24
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• 2024

This study aims to derive a technology development roadmap in related fields by utilizing patent documents of financial technology. To this end, patent documents are extracted by dragging technical keywords from prior research and related reports on financial technology. By applying the TF-IDF (Term Frequency-Inverse Document Frequency) technique in the extracted patent document, which is a text mining technique, to the extracted patent documents, the Latent Dirichlet Allocation (LDA) algorithm was applied to identify the keywords and identify the topics of the core technologies of financial technology. Based on the proportion of topics by year, which is the result of LDA, promising technology fields and convergence fields were identified through trend analysis and similarity analysis between topics. A first-stage technology development roadmap for technology field development and a second-stage technology development roadmap for convergence were derived through network analysis about the technology data-based integrated management system of the high-dimensional payment system using RF and intelligent cards, as well as the security processing methodology for data information and network payment, which are identified financial technology fields. The proposed method can serve as a sufficient reason basis for developing financial technology R&D strategies and technology roadmaps.