• Title/Summary/Keyword: Financial Fraud

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The Relationship between Work Environment factors, Perception of Insurance Crime and Job Satisfaction among Special Investigation Unit(SIU) (보험범죄특별조사팀(SIU)의 근무환경과 보험범죄에 대한 일반적 인식이 직무만족도에 미치는 영향)

  • Yun, Myeong-Seong;Lee, Wan-Hee;Lee, Seung-Ae
    • Korean Security Journal
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    • no.32
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    • pp.151-176
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    • 2012
  • Government organizations (including police, prosecutor, and Financial Supervisory Service) and programs to uncover or prevent from insurance crime are not well developed. However, insurance crime are increasing among not only private insurances such as life insurance, indemnity insurance, and auto insurance but also public insurances including national health insurance and industrial accident compensation insurance. The damages of crimes are serious in both economical and ethical perspectives. Insurance crime deteriorates a current account of insurance companies and the leakages due to insurance fraud worsen loss ratio. Consequently, insurance crime increases customers' costs of insurance. For this reason, insurance companies stated to establish Special Investigation Unit(SIU) to detect insurance crime and fraud by themselves. However, organizational and operational efficiencies are limited. The purpose of this study is to examine the relationship between work environment factors, perception of insurance crime and job satisfaction among Special Investigation Units. Therefore, this study investigated the perception of work environments of Special Investigation Units. In addition, this study examined how their work environments and general perception of insurance crime influence their job satisfaction. In order test the purpose of this study, reliability test, exploratory factor analysis(EFA), multiple regression were employed. The results of this study suggested that clarity of insurance company, distress/difficulty of resolve, compensation, perception of work pressure are statistically significant on jab satisfaction among Special Investigation Unit in South Korea. This exploratory study expected to contribute to understanding of Special Investigation Unit, and their insurance crime prevention system. The results from this analysis will be examined in light of previous findings and policy implications discussed.

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Public Key based Virtual Credit Card Number Payment System for Efficient Authentication in Card Present Transaction (대면거래환경에서 효율적인 인증을 위한 공개키 기반의 가상카드번호 결제 기법)

  • Park, Chan-ho;Park, Chang-seop
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.25 no.5
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    • pp.1175-1186
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    • 2015
  • Financial fraud has been increasing along with credit card usage. Magnetic stripe cards have vulnerabilities in that credit card information is exposed in plaintext and cardholder verification is untrustworthy. So they have been replaced by a smart card scheme to provide enhanced security. Furthermore, the FinTech that combines the IT with Financial product is being prevalent. For that reason, many mobile device based payment schemes have been proposed for card present transaction. In this paper, we propose a virtual credit card number payment scheme based on public key system for efficient authentication in card present transaction. Our proposed scheme is able to authenticate efficiently in card present transaction by pre-registering virtual credit card number based on cardholder's public key without PKI. And we compare and analyze our proposed scheme with EMV.

The Effects of Characteristics of User and System on the Perceived Cognition and the Continuous Use Intention of Fintech (핀테크(fintech) 사용자와 시스템 특성이 지각된 인식과 지속사용의도에 미치는 영향)

  • Lee, Jun-Sang;Park, Jun-Hong
    • Journal of the Korea Convergence Society
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    • v.9 no.1
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    • pp.291-301
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    • 2018
  • The purpose of this study is to investigate the factors that affect the perceived awareness and the intention of continuous use by FinTech users and system characteristics. Data collection was carried out by targeting and surveying 600 people living in Gwangju, and office workers using smartphones. As a result, first, self-efficacy, innovation, and fitness for Fin-Tech services were found to influence the degree of perceptual awareness and intent to use of Fin-tech service users. Second, the system characteristics have a positive effect on perceived awareness and intention of using FinTech service. Third, the hypothesis about the dangers in the user attributes and system properties were dismissed. It seems that the priority concern was regarding the leakage of personal information and security as privacy and the increasing damage cases of financial fraud by electronic financial transactions spill. Therefore, in order to spread FinTech services, it would be effective if a Fin-Tech service strategy could eliminate inconveniences such as the risk of hindering convenience and intention to use by the marketing strategy established by the company.

Study on a Real Time Based Suspicious Transaction Detection and Analysis Model to Prevent Illegal Money Transfer Through E-Banking Channels (전자금융 불법이체사고 방지를 위한 실시간 이상거래탐지 및 분석 대응 모델 연구)

  • Yoo, Si-wan
    • 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.

Mobile Healthcare and Security (모바일 헬스케어와 정보보안)

  • Woo, SungHee
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2016.10a
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    • pp.755-758
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    • 2016
  • The use of smart phones has had a great impact on the mobile internet business. It shows a lot of growth in the healthcare sector not only commerce, advertising, billing, games, video content, media, amd O2O business. The United States has eased the regulations for healthcare apps smart phone devices in 2015, and China has established a five-year road map to solve shortage of doctors and hospital beds by utilizing mobile devices such as wearable in the same year. The application of wearable devices in the medical field is gradually increasing in Korea too, but there is a security problem as leading challenge. Security incidents in non-ICT sectors such as financial, medical, etc. have increased by using ICT each year. Personal information leakage is also increasing in field likely occurring the potential secondary damages such as financial fraud, illegal promotions, insurance and pharmaceutical companies abuse. In this study, we analyze malwares as the mobile threats, the five risks of mobile smart phone, mobile use cases and the mobile threat countermeasures for healthcare.

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Why Should I Ban You! : X-FDS (Explainable FDS) Model Based on Online Game Payment Log (X-FDS : 게임 결제 로그 기반 XAI적용 이상 거래탐지 모델 연구)

  • Lee, Young Hun;Kim, Huy Kang
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.32 no.1
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    • pp.25-38
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    • 2022
  • With the diversification of payment methods and games, related financial accidents are causing serious problems for users and game companies. Recently, game companies have introduced an Fraud Detection System (FDS) for game payment systems to prevent financial incident. However, FDS is ineffective and cannot provide major evidence based on judgment results, as it requires constant change of detection patterns. In this paper, we analyze abnormal transactions among payment log data of real game companies to generate related features. One of the unsupervised learning models, Autoencoder, was used to build a model to detect abnormal transactions, which resulted in over 85% accuracy. Using X-FDS (Explainable FDS) with XAI-SHAP, we could understand that the variables with the highest explanation for anomaly detection were the amount of transaction, transaction medium, and the age of users. Based on X-FDS, we derive an improved detection model with an accuracy of 94% was finally derived by fine-tuning the importance of features that adversely affect the proposed model.

Professional Security Management and Investigation for the New Competitive Advantage

  • Button, Mark;Lee, Ju-Lak;Kim, Hak-Kyong
    • International Journal of Contents
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    • v.7 no.3
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    • pp.71-81
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    • 2011
  • This paper is mainly associated with setting out an agenda for the transformation of security by creating a new framework for a security system, which can maximise its effectiveness. Noticeably, this research shows empirically that crimes are getting a major cost to organisations, which if reduced by security and investigations could reap substantial rewards to the finances of an organisation. However, the problem is that the delivery of security is frequently delegated to personnel (e.g. security guards) with limited training, inadequate education, and no real commitment to professionalism - 'sub-prime' security, finally causing security failures. Therefore, if security can be enhanced to reduce the crime cost, this will produce financial benefits to business, and consequently could produce a competitive advantage. For this, the paper basically draws upon Luke's theoretical framework for deconstructing 'power' into three dimensions. Using this three-dimensional approach, the paper further sets out a model of how security can be enhanced, utilising a new Security Risk Management (SRM) model, and how can this SRM model create competitive advantage in business. Finally, this paper ends with the six strategies needed to enhance the quality of security: refiguring as SRM, Professional Staff, Accurate Measurement, Prevention, Cultural Change, and Metrics.

What Determines Interest in Becoming a Student of Professional Accounting?

  • YADNYANA, I Ketut;DEWI, Ni Luh Putu Trisna
    • The Journal of Asian Finance, Economics and Business
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    • v.7 no.10
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    • pp.1119-1127
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    • 2020
  • This study aims to identify the determinants of student interest in pursuing Accounting Professional Education (Indonesia: PPAk) in Province of Bali. The determinants which the author has used are: independent variables are social motivation, career motivation, quality motivation, and duration of education. The sample in this study comprises of 75 respondents who are students of Accounting discipline at the Faculty of Economics and Business at universities in the Province of Bali. Data was collected using a questionnaire and have been processed using multiple regression analysis. The results show that social motivation, career motivation, and quality motivation have a positive effect on students' interest in studying Accounting Professional Education. On the other hand, the duration of the accounting course has a negative effect on students' interest in studying this program. The importance of role of a professional accountant in realizing transparency in public life, and an economy that is free from financial deceit and fraud makes the role of professional accounting institutions very important. However, graduates' who desire to continue their studies in the PPAk program tends to be low. The findings of this research are expected to become the basis for policy makers in formulating rules related to the development of the accounting profession in the society, especially in Indonesia.

Big Data Strategies for Government, Society and Policy-Making

  • LEE, Jung Wan
    • The Journal of Asian Finance, Economics and Business
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    • v.7 no.7
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    • pp.475-487
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    • 2020
  • The paper aims to facilitate a discussion around how big data technologies and data from citizens can be used to help public administration, society, and policy-making to improve community's lives. This paper discusses opportunities and challenges of big data strategies for government, society, and policy-making. It employs the presentation of numerous practical examples from different parts of the world, where public-service delivery has seen transformation and where initiatives have been taken forward that have revolutionized the way governments at different levels engage with the citizens, and how governments and civil society have adopted evidence-driven policy-making through innovative and efficient use of big data analytics. The examples include the governments of the United States, China, the United Kingdom, and India, and different levels of government agencies in the public services of fraud detection, financial market analysis, healthcare and public health, government oversight, education, crime fighting, environmental protection, energy exploration, agriculture, weather forecasting, and ecosystem management. The examples also include smart cities in Korea, China, Japan, India, Canada, Singapore, the United Kingdom, and the European Union. This paper makes some recommendations about how big data strategies transform the government and public services to become more citizen-centric, responsive, accountable and transparent.

Security Vulnerability and Security Measures of Kakao Bank in Industrial Environment (산업환경에서 카카오 뱅크가 가지는 보안취약점 및 보안대책)

  • Hong, Sunghyuck
    • Journal of Industrial Convergence
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    • v.17 no.2
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    • pp.1-7
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    • 2019
  • The Kakao bank can be conveniently used if there are only smartphones, identity cards, and bank accounts. However, a few days before the inauguration of Kakao Bank, the company opened an account for receiving loans from other people. In order to avoid such cases, the financial transactions will be detected if the SDS is withdrawn at a short interval of time. The detection system of FDS has four functions which are monitoring and auditing, collection, analysis, and response. There are security problems of the cocoa banks in various directions. The Kakao bank has a way to respond to the problem using FDS.: Keywords : Cocoa bank, security issues, information protection, FDS