• Title/Summary/Keyword: 보험사기

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An Empirical Study on the Development of Behavior Model of Insurance Fraud (보험사기행동모형 개발에 관한 실증적 연구)

  • Lee, Myung-Jin;Gim, Gwang-Yong
    • Journal of Information Technology Services
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    • v.6 no.2
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    • pp.1-18
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    • 2007
  • Many researches have been done in insurance fraud as the amount and frequency of insurance fraud have been increasing continuously. In particular, the development of insurance fraud detection system using large database management techniques including data mining or link analysis based on visual method have been the main research topic in insurance fraud. However, this kinds of detection system were very ineffective to find unintentional insurance fraud happened by accident even though it was so good to find intentional and organized crime insurance fraud. Therefore, this research suggests insurance fraud as an ethical decision making and applies TPB(Theory of Planned Behavior) for the finding of reasons and prevention strategies of unintentional insurance fraud happened by accident. The results of research show that TPB is very appropriate model to explain the behavior of insurance fraud and that insurance agents force to do insurance fraud as affecting perceived behavior control. Therefore, education and pubic relations for insurance fraud are very effective for preventing insurance fraud and developing insurance service industry.

A Performance Comparison Study of Fraud Detection Techniques (이상거래 탐지 기법의 성능 비교 연구)

  • Kim, Minseok;Park, Sanghyun
    • Proceedings of the Korea Information Processing Society Conference
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    • 2017.11a
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    • pp.738-741
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    • 2017
  • 금융 산업, IT 기술의 발전과 이를 융합한 핀테크 사업의 활성화에 따라 전자금융거래의 규모가 지속적으로 증가하고 있다. 이에 따라 다양한 사기 결제나 부정 결제의 위험도 증가하고 있다. 그래서 이러한 위험을 사전에 예방하기 위해 데이터 마이닝 기법을 이용한 이상거래 탐지 연구가 활발히 진행되고 있다. 본 연구에서는 데이터 마이닝을 이용한 이상거래 탐지 연구 동향을 살펴보고, 세부 응용 영역별(신용카드, 보험, 기타금융)로 최적의 성능을 보이는 기법을 비교 분석하였다. 이러한 연구의 결과는 이상거래 탐지 시스템에 대한 최신 연구 동향을 이해하고, 다양한 전자금융거래에 적용할 수 있는 범용(General-purpose) 이상거래 탐지 기술 연구에 큰 도움이 될 것으로 기대된다.

텔레바이오인식기반 반려동물 개체식별기술 표준화 동향

  • Kim, Jason
    • Review of KIISC
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    • v.30 no.4
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    • pp.35-38
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    • 2020
  • 반려견·반려묘 등 반려동물이 사람인구 대비 1/5인 수준인 1000만 개체로 급증하고, 이에 따른 팻산업이 6조원 규모로 급성장하는 추세와 함께 RFIP칩 신체내부이식하는 형태의 동물등록제 실시에 대한 부정적인 시각과 거부감으로 인하여 최근 들어 반려동물의 비문(일명 코지문)·홍채 등 바이오인식기술을 이용한 개체식별기술에 대한 니즈가 증대되고 있는 실정이다. 이에 따라 2019년 부터 반려동물에 대한 바이오인식기술을 접목한 개체식별기술을 활용하는 동물등록제 적용을 위하여 동물보호법 개정작업이 활발히 진행될 것으로 전망되며, 반려동물의 유사한 품종에 대한 개체식별 필요성에 따라 팻보험 사기예방·유기견 예방·디지털 동물병원 헬스케어서비스·팻레저·팻복지 등의 다양한 팻산업 응용분야에서 바이오인식기술을 이용한 반려동물 개체식별의 필요성은 날로 증대될 것으로 전망된다. 이에 따라 본 논문에서는 텔레바이오인식기반의 반려동물 개체식별기술에 대한 연구필요성과 함께 TTA PG505 등 국내표준화 추진현황과 ITU-T SG17 등 국제표준화 추진현황을 살펴보고자 한다.

A Study on Traffic Accident Reconstruction through Vehicle Crash Test (충돌시험을 통한 교통사고 재현 연구)

  • Kim, Guanhee;Lim, Jonghun;Park, Insong;Chun, Youngbum;Cho, Chongdu
    • Transactions of the Korean Society of Automotive Engineers
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    • v.21 no.6
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    • pp.58-63
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    • 2013
  • It is very difficult to evaluate the impact speed, who caused the accident and what the injury risk of the vehicle occupants was from the outcome of the accident. That's the main reason why there are so many insurance fraud related to vehicle accident. In this study, a vehicle crash accident suspected to an insurance fraud had been reconstructed to evaluate crash speed and the relationship between the crash accident and passenger injury risk. To do this, the scene was reconstructed based on accident investigation report and three vehicle crash tests were done at 27kph, 37kph and 70kph. The crash speed of 27kph and 37kph were chosen based on the damaged vehicle and 70kph was chosen based on the driver's statement. Based on the damage of vehicle and dummy injury measure, impact speed is estimated around 20 to 30kph and the dummy measures show that the passengers are not seems to be severely injured in this speed range.

Analysis of Waterborne Automotive Refinish Paint for Investigating Insurance Fraud (차량 보수도장 보험사기 규명을 위한 수용성 페인트 성분분석)

  • Lee, Joon-Bae;Lee, Cheon-Ho;Ryu, Seung-Jin;Gong, Bokyoung;Kwon, O-Seong;Kim, Myung-Duck;Kim, Nam Yee;Paeng, Ki Jung
    • Applied Chemistry for Engineering
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    • v.28 no.4
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    • pp.490-494
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    • 2017
  • With increasing the number of vehicles, the accident rate also goes up and the damaged vehicles should be painted as a final repair process. At the painting stage the solvent-based paint causes environmental problems. To overcome these problems waterborne refinish paint is frequently used recently. However, for waterborne refinish, the costs of insurance coverage are too expensive, and insurance reimbursement costs could be burdensome. Because of the high price of aquatic paint treatment, the service shop might charge the malicious service price. In this study, the surfactant of Surfynol 104, which is the component in the paint, was used as an indicator whether the vehicle was painted with waterborne paint. The specimen was quantitatively analyzed to contain 0.38% of the surfactant through the standard addition method with isotope substituted internal standard (IS) of fluranthene-d10 by curie point pyrolysis-gas chromatography/mass spectrometry (Py-GC/MS).

A study on Usage of Electronic Transport Documents on Electronic Trade (전자무역거래상의 전자식 운송서류 활성화에 관한 연구)

  • Nam, Jin-Woo
    • International Commerce and Information Review
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    • v.1 no.1
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    • pp.131-156
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    • 1999
  • 최근의 통상환경중 "Logistics" 혁명을 통한 컨테이너 운송의 신속화, 인터넷혁명을 통한 전자상거래 활성화는 EDI, EC등을 통해 "Paperless trade"가 실현을 앞당기고 있다. 본 논고는 이러한 물류혁명과 인터넷 정보기술의 발달로 대두되는 문제중 기존의 종이서류로서의 운송서류를 전자식 운송서류로 대체하는데 따른 문제점과 이의 활성화 방안에 대해서 살펴보고자 한다. 인터넷 전자거래가 활성화되어지면 기존의 종이서류들은 전자메시지로 대체될 것으로 여겨진다. 이에 따라 전자계약서, 전자송장, 전자보험증권, 전자선하증권 등이 출현할 것이지만 이중 무엇보다도 전자식 운송서류중 유통성 운송서류의 전자화는 그간 전자화의 핵심부문으로 여겨서 상당한 중요성을 두어왔다. 현재 이용되는 유통성 운송서류는 그간 선하증권의 지연도착문제와 이에 따른 추가 경비의 소요, 또한 선하증권 발급에 따른 부대경비의 과다소비, 종이서류로서의 선하증권의 위조에 따른 사기문제 등에 제기되어 졌고 이에 따라 선취화물보상장 등의 현실적 대안이 제시되었지만 이 또한 여러 문제점을 야기시켜왔다. 전자식 운송서류는 이러한 문제점을 다소 해소할 수 있는 방안으로 알려져 왔다. 전자거래가 활성활 될 미래에는 운송서류의 전자화는 필연적으로 대두되게 될 것이고, 이러한 전자화에 있어 해상운송장의 사용은 바람직한 모델로 여겨지고 있다. 그렇지만 전매가 잦은 산업에 있어 해상운송장은 자체의 유통성의 미비로 인해 그 사용에 문제점이 있고, 실제 상관행에서 많은 이점을 가진 선하증권의 발행 욕구를 충족시켜 줄 수 있어야 할 것이다. 본 논고에서는 전자식 운송서류의 활성화 방안으로 첫째, 전자식 운송서류에 관한 법률정비가 필요할 것으로 여겨지며 둘째, 유통성 전자식 운송서류에 있어 관리기관의 안정성이 확보되어야 할 것으로 여겨지며 셋째, UCP에서 전자식 운송서류에 관한 조항이 삽입되어져야 할것으로 여겨지며 넷째, 여러 측면에서 우위성을 지닌 전자무역거래의 활성화는 점차적으로 운송서류의 전자화를 활성화시키는데 반드시 필요한 명제로 등장할 것으로 여겨진다.

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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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Usefulness of Data Mining in Criminal Investigation (데이터 마이닝의 범죄수사 적용 가능성)

  • Kim, Joon-Woo;Sohn, Joong-Kweon;Lee, Sang-Han
    • Journal of forensic and investigative science
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    • v.1 no.2
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    • pp.5-19
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    • 2006
  • Data mining is an information extraction activity to discover hidden facts contained in databases. Using a combination of machine learning, statistical analysis, modeling techniques and database technology, data mining finds patterns and subtle relationships in data and infers rules that allow the prediction of future results. Typical applications include market segmentation, customer profiling, fraud detection, evaluation of retail promotions, and credit risk analysis. Law enforcement agencies deal with mass data to investigate the crime and its amount is increasing due to the development of processing the data by using computer. Now new challenge to discover knowledge in that data is confronted to us. It can be applied in criminal investigation to find offenders by analysis of complex and relational data structures and free texts using their criminal records or statement texts. This study was aimed to evaluate possibile application of data mining and its limitation in practical criminal investigation. Clustering of the criminal cases will be possible in habitual crimes such as fraud and burglary when using data mining to identify the crime pattern. Neural network modelling, one of tools in data mining, can be applied to differentiating suspect's photograph or handwriting with that of convict or criminal profiling. A case study of in practical insurance fraud showed that data mining was useful in organized crimes such as gang, terrorism and money laundering. But the products of data mining in criminal investigation should be cautious for evaluating because data mining just offer a clue instead of conclusion. The legal regulation is needed to control the abuse of law enforcement agencies and to protect personal privacy or human rights.

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