• The Journal of Society for e-Business Studies
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• v.22 no.4
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• pp.21-38
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• 2017

It is actively opening the market to fintech companies through open platforms, such as financial institutions and public institutions. In this thesis, we will look at the conceptual differences between the "provision of third-party information" and "entrustment" of information protection related laws, such as the Personal Information Protection Act, the Act on Promotion of Information and Communications Network Utilization and Data Protection Etc (Network Utilization Protection Act). In addition, the legal obligation to provide information regarding the legal rights of information is considered to be relevant, whereas the legal obligation of the private information provided by the company is excessively mitigated, whereas the legal obligation of the company to provide information is excessively mitigated. In addition, I suggest self-diagnosis checklist to help fintech companies improve their privacy levels. It was found that the level of information protection was relatively insufficient compared to the consignees based on the results of a survey conducted for 31 fintech companies. Aggressive use of the checklist is suggested to raise the level of information protection for those companies.

• Korea Petroleum Association Journal
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• no.9 s.214
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• pp.56-57
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• 1999

이 내용은 지난 7월 29일 재정경제부ㆍ산업자원부ㆍ금융감독위원회 국세청 등 정부기관 및 국민카드(주) 등 카드관련회사에 제출한 건의 내용을 발췌ㆍ요약한 것임

• Journal of the Korea Institute of Information Security & Cryptology
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• v.29 no.1
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• pp.149-164
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• 2019

Digital Transformation and the Fourth Industrial Revolution, electronic financial services should be provided safely in accordance with rapidly changing technology changes in the times of change. However, telecommunication finance fraud (voice phishing) accidents are currently ongoing, and various efforts are being made to eradicate accidents such as legal amendment and improvement of policy system in order to cope with continuous increase, intelligence and advancement of accidents. In addition, financial institutions are trying to prevent fraudulent accidents by improving and upgrading the abnormal financial transaction detection system, but the results are not very clear. Despite these efforts, telecommunications and financial fraud incidents have evolved to evolve against countermeasures. In this paper, we propose an intelligent over - the - counter financial transaction system modeled through scenario - based Rule model and artificial intelligence algorithm to prevent financial transaction accidents by voice phishing. We propose an implementation model of artificial intelligence abnormal financial transaction detection system and an optimized countermeasure model that can block and respond to analysis and detection results.

• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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• v.7 no.3
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• pp.1-9
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• 2017

Financial instruments are economic and intangible assets that bring financial company tremendous economic returns when it is a success. Also, It is necessary to protect this because it is a product of effort made by a lot of human resources and materials. However, legal and institutional devices for financial instruments are insufficient currently and 'copying practices' are rampant throughout the industry in korea. This ultimately inhibits the utility and welfare of consumers, but also adversely affects the competitiveness of the financial industry. In order to finance innovation that new financial products and services have appeared, it is necessary to grant the appropriate rights, such as intellectual property rights of financial instruments. And, there is a need for measures to protect it. Thus, this study proposed new way protecting the financial instruments through Intellectual property right. It is the introduction of similar protection system to financial instruments, such as mechanisms that protect database producers in copyright law.

• Journal of Korea Society of Industrial Information Systems
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• v.28 no.1
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• pp.47-56
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• 2023

Mezzanine products are financial investment products with both bond and stock characteristics, which are mainly issued by low-grade companies in the financial market to secure liquidity. Therefore, bondholders investing in mezzanine products must make decisions about when they want to convert to stocks, along with whether they invest in mezzanine products issued by the company. Therefore, in this paper, a total of 2,000 learning data and 200 predictive experimental data with stock conversion events completed by major industries are divided, and mezzanine event algorithms are designed and performance analyzed through artificial neural network models. This topic is meaningful in that it proposed a methodology to scientifically solve the difficulties of exercising mezzanine products, which are of high interest in the financial field, by applying artificial neural network technology.

• 월간 기계설비
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• s.66
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• pp.61-68
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• 1996

병자년 새해에서는 연면적 5천$m^2$ 이상인 다중이용시설의 감리는 감리전문회사가 맡게 되고 건축허가시 건축위원회의 심의를 반드시 받아야 하는 등 건축물 감리가 강화되며, 부부합산 금융소득이 4천만원을 초과하는 경우 종합과세 대상이 된다. 또 도심지 혼잡지역을 통과하는 1~2인승 차량에 혼잡통행료를 물릴수 있다. 5월부터는 주가지수 선물시장이 개설되는 등 정치$\cdot$경제$\cdot$사회 각 분야에 걸쳐 제도적, 법률적으로 많은 변화가 있게 된다. 세제, 금융, 노동, 주택, 교통, 기업환경 등 각 분야에 걸쳐 새해부터 달라지는 내용들을 알아보기로 한다.

• 정보보호뉴스
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• s.136
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• pp.48-51
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• 2009

금년 들어 미국의 신용카드 결제처리업체인 하트랜드 시스템즈(Heartland Payment Systems)에서 사상 최악의 신용카드 정보 유출 사건이 발생했으며, 이로 인한 금융 피해금액이 수억 달러에 이를 것으로 추산되고 있다. 이 회사는 매달 1억건에 달하는 신용카드 거래를 처리한다고 하니 그 유출된 개인 금융정보의 양은 상상을 초월할 것으로 보인다. 이렇게 유출된 정보는 카드복제, 신용도용 등 쉽게 예상할 수 있는 범죄 이외에도 어떠한 형태의 범죄로 당사자들에게 피해가 되돌아 올 지는 가늠하기 어렵다. 최근 국내에서 발생한 일련의 개인정보 유출사건과 마찬가지로 정보화와 개인정보보호 문제에 경종을 울리는 또 하나의 사건이라 하겠다.

• Proceedings of the Korea Information Processing Society Conference
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• 2006.11a
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• pp.527-530
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• 2006

오늘날 많은 기업들이 납기 단축, 비용 절감 및 효율적인 프로세스 관리 등을 위해 소프트웨어 프로세스 모델 및 표준을 도입하고 있다. 이러한 표준들은 유지보수 과정에서 빈번하게 발생하는 장애를 혁신적으로 감소시켜 안정적 서비스 제공을 한다. 본 논문에서는 CMMI에서 요구되는 프로세스를 좀 더 자세히 체계화하여 CMMI 인증을 받은 금융회사의 장애분석을 통하여 장애의 원인들을 파악하고 이에 대한 개선된 프로세스를 제안하고자 한다.

• 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.

• Journal of the Korea Convergence Society
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• v.8 no.4
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• pp.19-24
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• 2017

The growing number of electronic financial transactions (e-banking) has entailed the rapid increase in security threats such as extortion and falsification of financial transaction data. Against such background, rigid security and countermeasures to hedge against such problems have risen as urgent tasks. Thus, this study aims to implement an improved case model by applying the Fraud Detection System (hereinafter, FDS) in a financial corporation 'A' using big data technique (e.g. the function to collect/store various types of typical/atypical financial transaction event data in real time regarding the external intrusion, outflow of internal data, and fraud financial transactions). As a result, There was reduction effect in terms of previous scenario detection target by minimizing false alarm via advanced scenario analysis. And further suggest the future direction of the enhanced FDS.