• Journal of the Korea Society of Computer and Information
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• v.25 no.3
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• pp.117-127
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• 2020

Recently, proving insurance fraud has become increasingly difficult because it occurs intentionally and secretly via organized and intelligent conspiracy by specialists such as medical personnel, maintenance companies, insurance planners, and insurance subscribers. In the case of car accidents, it is difficult to prove intentions; in particular, an insurance company with no investigation rights has practical limitations in proving the suspicions. This paper aims reveal that the detection of organized and conspired insurance fraud, which had previously been difficult, could be dramatically improved through conspiring insurance fraud detection modeling using social network analysis and visualization of the relation between suspected group entities and by seeking developmental research possibilities of data analysis techniques.

• Information Systems Review
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• v.5 no.1
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• pp.49-60
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• 2003

The purpose of this study is to empirically and practically verify the applicability of visualization data mining tool in detecting real-word insurance frauds that are now emerged as one of the most serious problems socially and economically. For the verification, Analyst's Notebook by i2, which has been known as the most effective visualization data mining tool, was adopted. With Analyst's Notebook, fraud-probable insurance transactions from a very large insurance claims are selected and then substantiation for insurance frauds are attempted. The results show that Analyst's Notebook not only detects insurance fraud transactions from a vast number of insurance claims, but is also able to pinpoint organized crime group by associating one fraud transaction to another fraud transaction. Therefore, it is safe to conclude that visualization data mining is very effective in detecting false transactions and crime behaviors including insurance fraud.

• Journal of Digital Convergence
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• v.20 no.2
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• pp.241-250
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• 2022

Due to the COVID-19 pandemic, with increased 'untact' services and with unstable household economy, the bike insurance fraud is expected to surge. Moreover, the fraud methodology gets complicated. However, the fraud detection model for bike insurance is absent. we deal with the issue of skewed class distribution and reflect the criterion of fraud detection expert. We utilize a balanced random-forest algorithm to develop an efficient bike insurance fraud detection model. As a result, while the predictive performance of balanced random-forest model is superior than it of non-balanced model. There is no significant difference between the variables used by the experts and the confirmatory models. The important variables to detect frauds are turned out to be age and gender of driver, correspondence between insured and driver, the amount of self-repairing claim, and the amount of bodily injury liability.

• The Korean Journal of Financial Management
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• v.23 no.1
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• pp.227-242
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• 2006

This paper analyzes insurance crimes using a game theoretic model. In blackmailing cases involving automobile accidents, insurance criminals deliberately induce innocent drivers(victims) to commit a moving violation such as crossing over the center dividing yellow line, and collide with the victims. After the collision, the criminals and the victims effectively engage in a bargaining game over the amount of the settlement for the damage. Because the penalty for that kind of moving violation is very severe (even criminally prosecuted), the victims do not have much bargaining power. Exploiting the weak bargaining power of the victims, the criminals demand and receive huge compensation (including settlement) from the victims. In the model, it is shown that under the current law agents have perverse incentives leading to insurance crimes. The criminals have incentive to induce car collisions and extract huge settlement from the victims. Based on the analysis, it is suggested that lowering the severity of penalty for certain kind of violation may be needed to prevent insurance crimes, in addition to increasing the crime investigation activities and strengthening punishment for insurance criminals.

• Convergence Security Journal
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• v.15 no.6_2
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• pp.79-87
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• 2015

In order to clearly recognize illegality of insurance crime, declaring the provisions on insurance crime is preferable. An insurance fraud differentiated from Configuration Requirements of general fraud should be established And differentiation in accordance with the act type of insurance crime the degree of organizational involvement is required. Also the introduction of civil sanctions and creation of additional punishment provision about Organized insurance fraud are required. To notice duplicate insurance when sign up life insurance, the revision of the provisions is required. To limit unnecessary long-term hospitalization, hospitalization standard is required. Introduction of private investigator is required as a method for endowing with investigation to the staff of insurance companies. By providing information sharing laws between relevant agencies including insurance companies and law enforcement agencies, the foundation of information database, and the introduction of SNA Techniques in the IFAS,, you can detect Organized collusion crime.

• 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.

• Convergence Security Journal
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• v.16 no.6_2
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• pp.53-60
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• 2016

Security measures for the current insurance crime has focused on the capture oriented and reactive response in the screening stage of insurance payments. However, since leaving the damages that can not be healed by post-punishment, it is necessary to take measures to prevent the insurance crimes in advance. In this paper, I would like to try to identify problems through analyzing the characteristics and cases of the insurance crimes, and to present alternatives to it. The problems with the current insurance system that causes the insurance crimes are, First, When signing the insurance contract, it is too inattentive to confirm about the credit status of the policyholder, duplicate join or not, whether voluntarily sign up etc. Second, a thorough investigation or criminal charges in case of insurance accident is not being done properly. Third, information exchange and management to malicious policyholders is not being done properly. Therefore, in order to guard people from insurance crimes, First, it should strengthen the audit of such credit conditions, accident experiences in the insurance contract at the policyholders. Second, we need to block insurance crimes in advance through the continuous upgrades of insurance fraud analysis systems and social network. Third, it is necessary to strengthen the surveillance systems for the insurance crimes by the information sharing.