• Korean Security Journal
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• no.13
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• pp.487-505
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• 2007

This study is to examine relations between the number of occurrence of big five critical crimes that consist of homicide, robbery, rape, theft, violence and the number of the security companies and the security guards, and between the number of the security companies, the security guards and the number of arrests from the big five critical crimes. To achieve this objective, this research selects a subject of study, the number of the security companies and security guards, and the number of occurrences of the big five critical crimes and arrests of the big five crimes from 1990 to 2005. The selected data are then analyzed according to the variables using SPSS 12.0. Each hypothesis is verified with the level of significance ${\alpha}$=.05 using the statistical techniques such as Correlation Analysis, Regression Analysis, etc. The following is the result of the study: First, the number of occurrences of the big five critical crimes affects the number of the security companies at a significant level. Second, the number of the security companies affects the number of arrests of the big five crime at a significant level.

• Journal of the Korean Regional Science Association
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• v.31 no.4
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• pp.3-24
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• 2015

Crimes must be reduced not only because of the financial, physical, and emotional damages they bring to the victims but also because crimes increase social costs by elevating distrust in society and instilling fear. With the increasing number of crimes in Korea, finding other factors that affect the occurrence of crimes is needed beyond the current viewpoint for crime analysis. Social support factors can be candidates for studies on the social support effect on crime occurrence in their initial stage. In this study, we identified the effect of social support factors on crime occurrence or deterrence, none of which has been considered important until now, given the emergence of spatial econometrics. The resulting Moran's I values revealed the existence of a spatial autocorrelation in all three crimes: heinous crimes, theft, and violence. As shown in the analysis using spatial econometrics and ordinary least squares, social support from families is significant in reducing all crimes especially violence. Social support from the local government is significant in preventing only theft. The spatial econometrics model is only valid in heinous crimes. These different effects of social support factors and spatial factors on crime occurrences are caused by the different characteristics of crimes. Hence, policymakers should consider the social support effect when they establish policies related to social housing or welfare.

• Korean Security Journal
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• no.50
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• pp.241-261
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• 2017

Despite the trend and severity of industrial technology outflow crime, little research has been conducted about the effect of police force on that kind of crime in Korea. Consequently, this research preliminarily empirically examined relationship between foreign affairs police forces such as policemen, budget, establishing special investigation unit and the arrest of industrial technology outflow crime due to the limit of related data. Research findings can be summarized as follows. A statistically significant positive relationship was found between foreign police budget and the arrest of crime in the country. On the contrary, foreign police force is not significantly associated with the arrest and occurrence of crime overseas. Based on the result, the effect of the police force such as hardware factors including policemen, budget on the industrial technology outflow crime seemed to be weak. Consequently, considering police alternatives from previous researches, several implications such as reinforcement of foreign police force by increasing personnel and organizational innovation, enriching training program, strengthening the domestic and foreign cooperative network between police and related bodies can be suggested. Also, the improvement of the formal statistics on the industrial technology outflow crime and strenthening public relations can be recommended.

• The Journal of the Korea Contents Association
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• v.19 no.8
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• pp.667-676
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• 2019

In recent years, the occurrence of life and violent crime in the city centered on crime-prone areas has become a big issue, raising the public interest in safety from crime has been higher than ever. As the initial response to crime and the importance of crime prevention are emerging, the government is preparing various measures such as crime prevention service using advanced technology. This project is a demonstration project to select specific target sites and apply that on a trial basis with the main purpose of commercialization of intelligent crime prevention technologies and services. In order to spread the business through the demonstration project, it is expected that the practical economic evaluation as well as the academic and practical value of the project will have a great significance. In this study, the purpose of this research is to derive economic feasibility through technologies and services to be implemented in Indokwon district of Anyang city, which is selected demonstration site of the intelligent security, to promote the spread of business and contribute to the policy activation.

• Journal of the Society of Disaster Information
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• v.19 no.4
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• pp.908-915
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• 2023

Purpose: The purpose of this study is to examine the types of fraudulent crimes among various crimes taking place during NFT transactions, and to approach institutional problems caused by crime types analysis and crackdown methods and legal limitations. Method: IIn order to classify the types of fraudulent crimes that appear in NFT transactions, the crime types were analyzed through the results of previous studies and cases of current incidents. Result: Most of the crimes that are taking place through NFTs are various types of fraudulent crimes such as rug pools, thefts, personal information theft fraud, and pig murder. Therefore, these types were classified and various damage cases were also analyzed. It is a matter of copyright. Conclusion: Currently, the financial problems caused by the occurrence of fraudulent crimes in NFTs worldwide are the most worrisome, and the scale will be even greater as the market grows in the future. Therefore, in Korea, various institutional supplements and policies should be prepared through analysis of crime types that can affect crime prevention and investigation and arrest activities.

• Journal of the Korean Association of Geographic Information Studies
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• v.21 no.4
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• pp.64-80
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• 2018

In Korea, citizens can only know general information about crime. Thus it is difficult to know how much they are exposed to crime. If the police can predict the crime risky area, it will be possible to cope with the crime efficiently even though insufficient police and enforcement resources. However, there is no prediction system in Korea and the related researches are very much poor. From these backgrounds, the final goal of this study is to develop an automated crime prediction system. However, for the first step, we build a big data set which consists of local real crime information and urban physical or non-physical data. Then, we developed a crime prediction model through machine learning method. Finally, we assumed several possible scenarios and calculated the probability of crime and visualized the results in a map so as to increase the people's understanding. Among the factors affecting the crime occurrence revealed in previous and case studies, data was processed in the form of a big data for machine learning: real crime information, weather information (temperature, rainfall, wind speed, humidity, sunshine, insolation, snowfall, cloud cover) and local information (average building coverage, average floor area ratio, average building height, number of buildings, average appraised land value, average area of residential building, average number of ground floor). Among the supervised machine learning algorithms, the decision tree model, the random forest model, and the SVM model, which are known to be powerful and accurate in various fields were utilized to construct crime prevention model. As a result, decision tree model with the lowest RMSE was selected as an optimal prediction model. Based on this model, several scenarios were set for theft and violence cases which are the most frequent in the case city J, and the probability of crime was estimated by $250{\times}250m$ grid. As a result, we could find that the high crime risky area is occurring in three patterns in case city J. The probability of crime was divided into three classes and visualized in map by $250{\times}250m$ grid. Finally, we could develop a crime prediction model using machine learning algorithm and visualized the crime risky areas in a map which can recalculate the model and visualize the result simultaneously as time and urban conditions change.

• Fire Science and Engineering
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• v.12 no.1
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• pp.27-33
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• 1998

Arson is one of the serious crime. It shows high increasing rate compared with the past, and the causes of arson are getting diversified and specialized in this modern society. In this thesis, the actual state and tendency of arson during latest 5 years have been analyzed on the basis of 'crime analysis' which is material of the National Police Agency. Based on the above analyzed material, measures for arson in foreign countries are examined and necessary matters to counter arson in Korea are inferred.

• Proceedings of the Korea Contents Association Conference
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• 2006.05a
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• pp.317-321
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• 2006

Endless criminal act has serious effect on safety of the nation and lives of the citizens and it is causing major disorder in ruling of the nation and the society. Also internet generalization in public put country's information foundation on the latest trend on the other hand, due to lack of security concept, cyber crime is on the rise such as hacking and viruses. But with various crime occurrence and increased desire for safety of citizens, there is limit to provide high quality public security service with just police force and equipments. To solve the problems, advanced crime prevention system, not on the nation's level but on the private level was activated private security business some time ago. And now it has its firm place as a corresponding existence with crime prevention capability of police force. Still private security industry of Korea has relatively many weak points when compared with advanced countries and it should be backed up with improvement of the law and the system.

• Korean Security Journal
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• no.19
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• pp.165-185
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• 2009

This research presented a plan of connection between CPTED and Security System through analyzing relation between crime occurrence and residence environment, CPTED propulsion examples on domestic-oversea, relation between CPTED and Security System. The following was the result of the study. First, we should import CPTED and Security System for city and residential area crime prevention. Second, we should know that CPTED and Security System are not each other but complementary cooperation. Third, we must use Security System components correctly in CPTED's details design plan and consideration regard when we design CPTED. forth, we must develop and keep a plan of connection between CPTED and Security System.

• Korean Security Journal
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• no.30
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• pp.139-169
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• 2012

The purpose of this study is to contribute to establishing the scientific policing policies through deriving the time series models that can forecast the occurrence of major crimes such as murder, robbery, burglary, rape, violence and identifying the occurrence of major crimes using the models. In order to achieve this purpose, there were performed the statistical methods such as Generation of Time Series Model(C) for identifying the forecasting models of time series, Generation of Time Series Model(C) and Sequential Chart of Time Series(N) for identifying the accuracy of the forecasting models of time series on the monthly incidence of major crimes from 2002 to 2010 using IBM PASW(SPSS) 19.0. The following is the result of the study. First, murder, robbery, rape, theft and violence crime's forecasting models of time series are Simple Season, Winters Multiplicative, ARIMA(0,1,1)(0,1,1), ARIMA(1,1,0 )(0,1,1) and Simple Season. Second, it is possible to forecast the short-term's occurrence of major crimes such as murder, robbery, burglary, rape, violence using the forecasting models of time series. Based on the result of this study, we have to suggest various forecasting models of time series continuously, and have to concern the long-term forecasting models of time series which is based on the quarterly, yearly incidence of major crimes.