• KSII Transactions on Internet and Information Systems (TIIS)
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• v.9 no.8
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• pp.3182-3202
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• 2015

Flexibly expanding the storage capacity required to process a large amount of rapidly increasing unstructured log data is difficult in a conventional computing environment. In addition, implementing a log processing system providing features that categorize and analyze unstructured log data is extremely difficult. To overcome such limitations, we propose and design a MongoDB-based unstructured log processing system (MdbULPS) for collecting, categorizing, and analyzing log data generated from banks. The proposed system includes a Hadoop-based analysis module for reliable parallel-distributed processing of massive log data. Furthermore, because the Hadoop distributed file system (HDFS) stores data by generating replicas of collected log data in block units, the proposed system offers automatic system recovery against system failures and data loss. Finally, by establishing a distributed database using the NoSQL-based MongoDB, the proposed system provides methods of effectively processing unstructured log data. To evaluate the proposed system, we conducted three different performance tests on a local test bed including twelve nodes: comparing our system with a MySQL-based approach, comparing it with an Hbase-based approach, and changing the chunk size option. From the experiments, we found that our system showed better performance in processing unstructured log data.

• 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.

• Journal of Internet Computing and Services
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• v.9 no.1
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• pp.69-78
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• 2008

Finance, Securities, banking system provides information through Internet, DM SMS, IVR, E-mail and FAX for customer. Customers can use multi channel. Enterprise requires Host transaction and transparency for DB processing, This paper provides two contributions to the study. First, we discuss Server of Fire insurance (finance, securities and capital, bank system) in Enterprise. Second, we present Real time monitoring system for customer transparency. Finally, we design and implement the proposed system. These techniques can be efficiently supported in CRM(Customer Relationship Management).

• Proceedings of the Korea Inteligent Information System Society Conference
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• 2002.11a
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• pp.215-219
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• 2002

인터넷의 급속한 성장으로 e비즈니스의 인터넷 사용이 증대되었다. 인터넷 환경에서는 새로운 인터넷 사용자라는 소비자를 대상으로 인터넷 소비자 행동에 관한 연구가 중요한 분야로 자리잡게 되었다. 인터넷상에서의 소비자 행동을 설명하기 위해 온라인 인지절차 (Cognitive process)에 관한 연구로, 웹 사이트에 대한 소비자의 태도에 미치는 영향을 밝히는 연구들이 수행되었다. 웹 사이트에 대한 소비자의 태도에 따른 개인화된 마케팅을 위해서는 웹사이트를 소비자의 특성을 고려해서 개인화된 웹사이트를 운영해야 한다. 개인의 정보 시스템 사용에 대한 설명을 위하여 많은 모형들이 개발되어 왔다. 기술 수용 모형(Technology Acceptance Model: TAM)은 개인의 정보 시스템 수용에 영향을 미치는 요소를 설명하기 위하여 가장 폭 넓게 사용되고 있는 모형이다. TRA 모형에 따르면, 개인의 사회적 행위는 그 행위의 결과에 대한 신념에 의해 영향을 받는다고 할 수 있다. 본 연구에서는 고객의 신념을 신뢰 (Trust), 유용성 (Usefulness), 사용의 편의성 (Ease of Use), 위험 (Risk), 보안통제 (Security control)로 분류하고, 고객의 실제 사용 (Usage)을 인터넷 뱅킹 환경에서 측정하여 고객세분화에 적용하였다. 세분화된 고객집단을 분류하기 위해서 인공신경망, 판별 분석 기법을 적용하여 웹 사이트에서 사용할 수 있는 개인화 모형을 개발하였다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.5 no.6
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• pp.1192-1213
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• 2011

Information security management systems (ISMSs) are used to manage information about their customers and themselves by governments or business organizations following advances in e-commerce, open networks, mobile networks, and Internet banking. This paper explains the existing ISMSs and presents a comparative analysis. The discussion deals with different types of ISMSs. We addressed issues within the existing ISMSs via analysis. Based on these analyses, then we proposes the development of an information security management evaluation system (ISMES). The method can be applied by a self-evaluation of the organization and an evaluation of the organization by the evaluation committee. The contribution of this study enables an organization to refer to and improve its information security levels. The case study can also provide a business organization with an easy method to build ISMS and the reduce cost of information security evaluation.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.12
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• pp.385-388
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• 2020

At present, the payment system in Thailand changes from a paper-based system to a cashless payment system. A coin has its two sides, so the cashless payment has its advantages and disadvantages. This article describes the general advantages and disadvantages of a cashless society in Thailand in the COVID-19 situation. The cashless payment in Thailand consists of credit cards, automated teller machines, direct debit, mobile/Internet banking, e-Wallet, PromptPay, and QR code. The cashless payment is able to assist the government for tax collection accuracy and facilitates users to make financial transactions more transparent and efficient. In addition, the cashless system provides benefits to businesses in which they are able to increase sales and expand business by providing convenient, safe and faster services to customers in making payment for goods/services. It assists businesses to save time and cost of cash management and reduce the paperwork. The cashless payment made the life of students, housewives, and elderly people very easy to carry out financial transactions and there is no need to meet the financial institution staff. This payment system needs advanced technology system skills, a smartphone, and a technology facility. Finally, the cashless payment can reduce the spreading of COVID-19.

• Korean Journal of Agricultural Science
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• v.28 no.1
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• pp.59-64
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• 2001

This study is on the method of direct transaction with farmers, a farmers' group and consumers through internet. Approximately the method in this study could be divided into 4 sections: 1) full information display about agricultural products of farmers, farmers' group, 2) consumers' choice about the best stuff, 3) direct transaction system by using tele-banking and 4) a delivery system in conveying method or an interview type electronic commerce system that carry out the direct visit These methods are to make the merits of the existing traditional type commerce system's to be maximized to make bull use of electronic commerce system.

• Journal of the Korea Society of Computer and Information
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• v.22 no.2
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• pp.59-63
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• 2017

Recently, Certificate has been loosed 100 times in a four years as Phising or hacking. The service that use certificate in financial services occurs practical and secure issues. Therefore, the Korea government abolished the mandatory system used in the certificate service. However, they did not provide a replacing method for a certificate. And is not to fill the gaps of the certificate with one time password or secure card. Therefore this paper is propose the alternative method with total authentication service, that is lead the more secure electronic commercial.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.21 no.6
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• pp.83-99
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• 2011

OTP (One Time Password) is widely used for protecting accounts on Internet banking, portal services and online game services in Korea. OTP is very strong method for enforcing account security but there are several ways for exploiting vulnerabilities caused by implementation errors. These attacks can work because of the weakness from OTP enabled system's vulnerabilities, not for OTP's algorithm itself. In this paper, we present the known attack scenarios such as MITM (Man-in-the-Middle) attack and various reverse engineering techniques; also, we show the test result of the attacks and countermeasures for these attacks.

• Journal of Korea Society of Industrial Information Systems
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• v.27 no.6
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• pp.115-126
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• 2022

The purpose of this study is to try to IPA(Importance-Performance Analysis) by applying text mining approaches to user review data for korea mobile banking applications, and to derive priorities for improvement. User review data on mobile banking applications of korea commercial banks (Kookmin Bank, Shinhan Bank, Woori Bank, Hana Bank), local banks (Gyeongnam Bank, Busan Bank), and Internet banks (Kakao Bank, K-Bank, Toss) that gained from Google playstore were used. And LDA topic modeling, frequency analysis, and sentiment analysis were used to derive key attributes and measure the importance and satisfaction of each attribute. Result, although 'Authorizing service', 'Improvement of Function', 'Login', 'Speed/Connectivity', 'System/Update' and 'Banking Service' are relatively important attributes when users use mobile banking applications, their satisfaction is not at the average level, indicating that improvement is urgent.