• 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.

• Journal of Digital Convergence
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• v.16 no.7
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• pp.9-17
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• 2018

Recently, much attention in electronic financial fraud has been dramatically increased. In particular, the electronic financial fraud has been transforming to social engineering. Despite the growing interest in electronic financial fraud, few guidelines exist how to effectively avoid the serious damage from electronic financial fraud. Moreover, it is rarely investigated cases of victims from financial fraud. Therefore, the purpose of this study is to investigate why financial fraud crime victims occurs. To enhance mundane realism, we conducted Focus Group Interview(FGI) with actual victims from financial fraud crime. Drawing analysis of FGI with actual victims, we found that there are certain damage patterns. Further, we found that the reason why financial fraud crime victims occurs is optimistic biases of humans rooted in behavioral economics. Therefore, this study provides the valuable guidelines and directions to prevent electronic financial fraud based on risk and crisis management perspective. Ultimately, this study is able to help the establishment and implementation of a comprehensive electronic financial fraud prevention policy.

• 건강소식
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• v.28 no.5 s.306
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• pp.24-25
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• 2004

• 건강소식
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• v.7 no.3 s.52
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• pp.48-51
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• 1983

• Journal of Convergence for Information Technology
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• v.11 no.6
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• pp.270-281
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• 2021

With the development of information technology, the size of insurance fraud is increasing rapidly every year, and the method is being organized and advanced in conspiracy. Although various forms of prediction models are being studied to predict and detect this, insurance-related information is highly sensitive, which poses a high risk of sharing and access and has many legal or technical constraints. In this paper, we propose a machine learning insurance fraud prediction model based on blockchain, one of the most popular technologies with the recent advent of the Fourth Industrial Revolution. We utilize blockchain technology to realize a safe and trusted insurance information sharing system, apply the theory of social relationship analysis for more efficient and accurate fraud prediction, and propose machine learning fraud prediction patterns in four stages. Claims with high probability of fraud have the effect of being detected at a higher prediction rate at an earlier stage, and claims with low probability are applied differentially for post-reference management. The core mechanism of the proposed model has been verified by constructing an Ethereum local network, requiring more sophisticated performance evaluations in the future.

• Research in Community and Public Health Nursing
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• v.2 no.1
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• pp.389.1-389.1
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• 1990

• Research in Community and Public Health Nursing
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• v.2 no.1
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• pp.399-400
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• 1990

• Research in Community and Public Health Nursing
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• v.2 no.1
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• pp.388-389
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• 1990

• Korean Security Journal
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• no.9
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• pp.155-176
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• 2005

This study is focused on the job condition, the morale and the job leave of the private security. The private security industry in korea has been grown rapidly in its quantity, but the quality is not followed with it. So The reality on the private security Industry is in the low income and the negative morale, and it leads to leave the job openly. The job leave and the morale of the private security depend on the given job condition. Therefore to improve their job satisfaction and job condition the related parties should have concerned the quality for them. Because the output of their job performance depends on the private security's job morale, In this point of view the morale in the job and job leave have very relationship. The survey on the job condition, the morale and the job leave of the private security has the followings; 1) The male is more unsatisfied than the female in their job condition, and the female is more satisfied than the male in their income. 2) The male is more higher than the female in job leave intention, especially 20s are most higher and 40s are most less. 3) The positive morale in the private security would be grown if the income and job satisfaction would be made in certain level and the fair promotion would be promised. 4) To improve the stability and effectiveness in the private security system the rate of job leave should be reduced and the proper job would be distributed.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.28 no.5
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• pp.1179-1195
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• 2018

Recently, a variety of attacks on web services have been occurring through a multiple access environment such as PC, tablet, and smartphone. These attacks are causing various subsequent damages such as online fraud transactions, takeovers and theft of accounts, fraudulent logins, and information leakage through web service vulnerabilities. Creating a new fake account for Fraud attacks, hijacking accounts, and bypassing IP while using other usernames or email addresses is a relatively easy attack method, but it is not easy to detect and block these attacks. In this paper, we have studied a method to detect online fraud transaction and obsession by identifying and managing devices accessing web service using web-based device fingerprinting. In particular, it has been proposed to identify devices and to manage them by scoring process. In order to secure the validity of the proposed scheme, we analyzed the application cases and proved that they can effectively defend against various attacks because they actively cope with online fraud and obtain visibility of user accounts.