• Journal of Korea Game Society
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• v.11 no.2
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• pp.69-79
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• 2011

Online game industry and item trade have grown up fast after 2000. And there has been a perspective that online game and item trade are the cause of the crimes, especially cyber crime like hacking, virus. But there was no positive research about the opinion, so this article studies the relations among online game, item trade and crime. The results suggest that online game and item trade maybe a cause of cyber crime and property crime. But online game and item trade don't increase the total number of crime. That means that online game and item trade substitute the way how crime happens. Online game and item trade substitute no-property crime to property crime.

• Journal of the Korea Society of Computer and Information
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• v.13 no.5
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• pp.273-278
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• 2008

As the new management strategy of urban crime, The crime prevention through environmental design is the one of the crime control strategies for preparatory Prevention. Therefore, The Purpose of this study is to find out the crime prevention strategy to encounter problems in reality concerning to the urban crime. In this purpose, We analyze how to form crime distribution through fieldwork about crime happened in the dong-gu residential zone of urban crimes happened in Gwang-Ju metropolitan city, 2004. And then, We examine the crime prevention strategy through CPTED(Crime Prevention Through Environmental Design).

• Korean Journal of Artificial Intelligence
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• v.9 no.1
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• pp.15-20
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• 2021

This paper was conducted to prevent and respond to crimes by predicting crimes based on artificial intelligence. While the quality of life is improving with the recent development of science and technology, various problems such as poverty, unemployment, and crime occur. Among them, in the case of crime problems, the importance of crime prediction increases as they become more intelligent, advanced, and diversified. For all crimes, it is more critical to predict and prevent crimes in advance than to deal with them well after they occur. Therefore, in this paper, we predicted crime types and crime tools using the Multiclass Logistic Regression algorithm and Multiclass Neural Network algorithm of machine learning. Multiclass Logistic Regression algorithm showed higher accuracy, precision, and recall for analysis and prediction than Multiclass Neural Network algorithm. Through these analysis results, it is expected to contribute to a more pleasant and safe life by implementing a crime prediction system that predicts and prevents various crimes. Through further research, this researcher plans to create a model that predicts the probability of a criminal committing a crime again according to the type of offense and deploy it to a web service.

• Journal of Internet Computing and Services
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• v.17 no.3
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• pp.115-128
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• 2016

Recently, converging Big Data and IoT(Internet of Things)has become mainstream, and public sector is no exception. In particular, this combinationis applicable to crime prevention in Korea. Crime prevention has evolved from CPTED (Crime Prevention through Environmental Design) to ubiquitous crime prevention;however, such a physical engineering method has the limitation, for instance, unexpected exposureby CCTV installed on the street, and doesn't have the function that automatically alarms passengers who pass through a criminal zone.To overcome that, this paper offers a crime prevention method using Big Data from public organizations along with IoT. We expect this work will help construct an intelligent crime-prevention system to protect the weak in our society.

• Asian Journal of Innovation and Policy
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• v.10 no.2
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• pp.249-273
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• 2021

While many criminal studies have focused on the motivation of offenders and avoidance of victimization in the micro perspective, there have been a number of theoretical developments emphasizing space as a direct factor that influences the incidence of crime. The main purpose of this study is to analyze the effects of regional characteristics and violent crime incidence in Korea. Applying diverse spatial econometrics models that have less been utilized in the crime literature, this study finds an important association between spatial accessibility and crime incidence. The results suggest that the type of predominant business and the level of road accessibility affect the vulnerability of areas with respect to the incidence of violent crime. This study concludes with some important implications for urban planners and policymakers with respect to crime control and prevention.

• International Journal of Advanced Culture Technology
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• v.10 no.3
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• pp.63-70
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• 2022

This study is to investigate that population change as a result of the decline in population has a correlation with a decrease in crime, with the change in the demographic composition by comparing with two models: model with growth in population and one with the decline in population. We collected demographic data for all cities in Korea from the 2010 Census to 2020 offered by the Korean Statistical Information Service, with crime data comprising serious reported crime events from the Korean Nation Police Agency through requesting data related to the total number of crimes at the same as the period of demographic data. This study can identify the impacts of demographic changes as a result of population change on crime change through a comparative analysis between areas with population growth and ones with population decline. We can confirm that there are differences in determinants of crime between areas with population increase and one with population decrease from the analysis of the impact of demographic change as a result of population change on crime change.

• Journal of the Korea Society of Computer and Information
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• v.17 no.4
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• pp.163-172
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• 2012

Modern society, various great strength crimes are producing. After all crimes happen, it is most important that prevent crime beforehand than that cope. So, many research studied to prevent various crime. However, existing method of studies are to analyze and prevent by society and psychological factors. Therefore we wishes to achieve research to forecast crime by time using Markov chain method. We embody modelling for crime occurrence estimate by crime type time using crime occurrence number of item data that is collected about 5 great strength offender strength, murder, rape, moderation, violence. And examined propriety of crime occurrence estimate modelling by time that propose in treatise that compare crime occurrence type crime occurrence estimate price and actuality occurrence value. Our proposed crime occurrence estimate techniques studied to apply maximum value by critcal value about great strength crime such as strength, murder, rape etc. actually, and heighten crime occurrence estimate probability by using way to apply mean value about remainder crime in this paper. So, we wish to more study about wide crime case and as the crime occurrence estimate rate and actuality value by time are different in crime type hereafter applied examples investigating.

• Korean Security Journal
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• no.29
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• pp.223-249
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• 2011

In modern society, citizens' quality of life aspects of safety and crime prevention activities are actively considering the incidence of crime prevention in advance. It also can be quite important elicit the interest of who community members through effective crime prevention strategies. For crime prevention policies and techniques over time as more scientific and advanced methods are made. Today, A typical crime prevention strategies is private security zones and Crime Prevention Through Environmental Design (CPTED) is a corresponding to the new strategy. CPTED is a diversification can be called a crime prevention approach that emphasizes the principle of natural surveillance, access control, territoriality, activity support, maintenance and management. The defensible space of the space area related to crime prevention setting the activities of private security and CPTED determine. Also, the reality of crime prevention and protection should be considered space. The emphasis on proactive prevention of crime in modern society for the prevention of crime how to approach differing perspectives and disparate aspects of private security and CPTED. Technical and professional areas that overlap to some extent in a homogeneous aspect. Ultimately, CPTED is a crime prevention through space and environmental approach for crime. In addition, Ultimate goal of convergence, crime prevention, with the same or higher is required to study for the area after looking for the characteristics and limitations of private security and CPTED.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.25 no.4
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• pp.767-780
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• 2015

In recent years, as smart phone penetration rate is growing explosively, new forms of cyber crime data is poured out beyond the limits of management system for cyber crime investigation. These new forms of data are collected and stored in police station but, some of data are not systematically managed. As a result, investigators sometimes miss the hidden data which can be critical for a case. Crime data is usually generated by computer which produces complex and huge data and records many logs automatically, so it is necessary to simplify a collected data and cluster by crime pattern. In this paper, we categorize all kinds of cyber crime and simplify crime database and extract critical clues relative to other cases. Through data mining and network-visualization, we found there is correlation between clues of a case. From this result, we conclude cyber crime data mining helps crime prevention, early blocking and increasing the efficiency of the investigation.

• KIPS Transactions on Software and Data Engineering
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• v.7 no.9
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• pp.361-366
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• 2018

Previous studies on fear of crime used survey and interview to measure fear of crime. However, though these methods can measure fear of crime in past events, they cannot measure real time fear of crime. In this paper, we use EEG to measure fear of crime in real time. We measure and analyze the EEG of subjects watching the video and confirm the difference between three groups classified according to the degree of fear of crime. As a result, about two times more beta waves are shown when a group of subjects with a high degree of fear of crime watches the images of fear of crime and 1.5 times more beta waves are shown among the other groups. Although watching videos related to the crime increased the beta waves, the police video showed little increase in beta waves because the subjects can sense safety in the video even if it is related to crime.