• The Korean Journal of Applied Statistics
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• v.35 no.5
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• pp.619-629
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• 2022

The five major violent crimes including murder, robbery, rape·forced indecent act, theft, and violence are representative crimes that threaten the safety of members of society and occur frequently in real life. These crimes have negative effects such as lowering the quality of citizens' life. In the case of Seoul, the capital of Korea, the risk for the five major violent crimes is increasing because the population density of Seoul is increasing as a large number of people in the provinces move to Seoul. In this study, to reduce this risk, the relative risk for the occurrence of the five major violent crimes in Seoul is modeled using three spatio-temporal models. In addition, various risk factors are included to identify factors that significantly affect the relative risk of the five major violent crimes. The best model is selected in terms of the deviance information criterion, and the analysis results including various visualizations for the best model are provided. This study will help to establish efficient strategies to sustain people's safe everyday living by analyzing important risk factors affecting the risk of the five major violent crimes and the relative risk of each region.

• Korean Security Journal
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• no.16
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• pp.1-17
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• 2008

This study is trying to analyse the private security prevention role of citizen, For this analyse the public opinion survey on the crime prevention of the private security was carried in Kyungnam area about the crime prevention system and the storage and institution, the role of the crime prevention of private security etc. So that, we have experimented a fact-finding survey about civil consciousness. The result of this fact-finding survey about crime prevention system is on the hand pointed out the circumscription of the police power, and the other hand they have the age-old ceremonies on the dependence about police system. Because the public security order needs the compelling power to maintenance the peace and this power is exercising only by police. They don't have the trust about the role of the private security as the crime prevention institution. But, they consider the private security is just for anyone in particular and special class by their demand. And also, they consider the private security is very expensive to utilize for their security in the everyday life. There for, some people have trust for the private security and if they have a chance for the security, they consider to utilize the private security for their safe life as an security agency. The private security has a powerful experts and so many high-tech equipments for the security. Thus, we have to find a solution to get the best out of it. Because the private security is also a part of crime prevention institution as the police agency.

• Proceedings of the Korean Society of Computer Information Conference
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• 2024.01a
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• pp.435-436
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• 2024

본 연구는 불특정 다수를 대상으로 한 범죄가 증가하면서 높아지고 있는 사회 불안을 해소하기 위해 서울시 10개 구를 선정하여 해당 구의 치안 강화를 위한 유용한 정보를 추출했다. 그리고 이를 데이터베이스화하여 다각적인 방면에서 분석하고 추가 대응 방안을 제시하였다. 서울지방경찰청의 2022년 치안 통계와 통계청의 2020년 사회조사 결과에 따르면 전체적으로 사회가 범죄에 대한 불안에 떨고 있음을 확인할 수 있었다. 안전서비스 설치와 범죄 발생 사이의 상관관계를 파악하고 범죄 발생에 미치는 요인들을 발견하여 추가적인 대응 방안을 설계한다면 우리 사회의 범죄 발생에 대한 불안을 해소할 수 있을 것으로 사료된다.

• Journal of Internet Computing and Services
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• v.23 no.2
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• pp.87-95
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• 2022

Cyber society formed by the development of the Internet is growing rapidly. The Internet is very convenient for our daily life, but it comes with negative aspects including cybercrime and cyberbullying. Recently, there have been incidents that show cyber criminal techniques of adolescents are getting more sophisticated and ferocious. To cope with this crime problem, it is necessary to analyze the causes that affect cyber crime offences among adolescents. There are numerous studies on cybercrime, but less attention has been given to trend analysis. To fill this void, this study examined how the factors that affected the cyber crime offences among adolescents have been changed over time according to transitions in social structure. Implications for future research and policies for adolescents' cyber crime prevention such as time considered response strategies are discussed based on the findings.

• Korean Security Journal
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• no.48
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• pp.147-176
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• 2016

Korean Peninsula is surrounded by ocean on three sides. Because of this geographical quality over 97% of export and import volumes are exchange by sea. Foreign ship and international passenger vessels carries foreign tourist and globalization and internationalization increases this trends. Leisure population grows with national income increase and interest of ocean. And accidents and incidents rates are also increases. Korea Coast Guard's jurisdiction area is 4.5 times bigger than our country. The length of coastline is 14,963km including islands. One patrol vessel is responsible for 24,068km and one coast guard substation is responsible for 94km. Efficient patrol activities can not be provided. This research focus on this problem. Analyze the status and trends of maritime crime and suggest efficient patrol activities. To deal with increasing maritime crime rate this study suggest to use geographical profile method which developed early 1900s in USA. This geographical profile analyse the spatial characteristic and mapping this result. With this result potential crime zone can be predicted. One of the result is hot spot management which gives data about habitual crime zone. In Korea National Police Agency adopt this method in 2008 and apply on patrol and crime prevention activity by analysis of different criteria. Korea National Police Agency analyse the crime rate with crime type, crime zone and potential crime zone, and hourly, regionally criteria. Korea Coast Guard need to adopt this method and apply on maritime to make maritime crime map, which shows type of crime with regional, periodical result. With this geographical profiling we can set a Criminal Point which shows the place where the crime often occurs. The Criminal Points are set with the data of numerous rates such as homicide, robbery, burglary, missing, collision which happened in ocean. Set this crime as the major crime and manage the data more thoroughly. I expect to enhance the reinforcement of marine crime using this Criminal Points. Because this points will give us efficient way to prevent the maritime crime by placing the patrol vessel where they needed most.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2007.02a
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• pp.146-149
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• 2007

2000년대에 접어들어 컴퓨터가 보급화 되면서, 컴퓨터를 도구로 하는 범죄가 폭발적으로 증가하기 시작하였다. 컴퓨터 시스템에 접근하여 중요 정보를 빼돌리거나, 범죄의 목적이 되는 해킹과 같은 정보보호 침해사고가 크게 증가하였으며, 컴퓨터를 이용한 정상적인 서비스를 방해하는 형태의 디지털 범죄들이 다수 발생하기 시작하였다. 따라서 범죄 수사 과정에서 전자 매체에 대한 분석이 필수 불가결한 요소로 등장하고 있으며, 이를 분석하려는 디지털 포렌식 연구가 활발히 진행되고 있다. 특히 전자 매체에 기록되는 디지털 정보는 보관이 편리하지만 삭제와 복제가 용이하므로 디지털 증거는 매우 세심하게 다루어야 하며, 수사관에 의한 의도적인 훼손이 없었음을 증명할 수 있는 절차와 제도가 필요하다. 국내에서는 적법한 수사 절차와 무결성을 보장하기 위하여 '절차 연속성(chain-of-custody)'을 제공하는 수사 가이드라인을 제작하였으며, 체계적인 수사를 수행 하고 있다.[4] 이와 더불어 포렌식 수사 과정에서 물리적인 접근을 통해 디지털 저장 매체에 대한 복구할 수 있는 방법이 존재하며, 이에 대한 구체적인 방안을 논한다.[1]

• Korean Security Journal
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• no.49
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• pp.217-246
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• 2016

Most of the North Korean defectors are the socially disadvantaged, and formed the lowest class in South Korean society. Their main objectives are to achieve economic wealth. In this process, North Korean defectors have often committed the crime or have been criminal victims. The purpose of this study was to propose the effective preventive measures after analyzing the actual situation of North Korean defectors in criminal behaviors and criminal damages. This research has studied of the literature on the criminal behavior and the criminal damage by North Korean defectors, utilized the relevant statistical data, cited the news for the relevant cases, and proposed the effective preventive measures of criminal behaviors and criminal damages of North Korean defectors by doing in-depth interviews with personal protection officer First, in order to prevent criminal activity by North Korean defectors, we should uplift the identity as the members of Korean society, systemize the initial adapt education, enlarge the employment protection and the resettlement helper system, manage North Korean defectors according to adaptive type, develop the network, establish the management department for the defectors, strengthen the training of prison inmates, and strengthen the management of unprotected people. Next, in order to prevent the criminal damages of North Korean refugees, we should manage vulnerable North Korean defectors effectively, maintain the liaison between the personal protection officer and North Korean defector, arrange the personal safety measures in advance when traveling abroad, enhance the legal education for usual living in Korean society, and perform the re-education for the female socialization.

• The Journal of the Korea institute of electronic communication sciences
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• v.18 no.6
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• pp.1197-1206
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• 2023

To assess the risk level of a public restroom implemented in virtual reality, we sought to evaluate the spatial elements present in the restroom. To provide the theoretical foundation for the evaluation subjects and criteria, we introduced prior research that proposed a checklist to entance the safety of public restroom. To set up evaluation criteria, we analyzed and established based on the theories of Paul J. Brantingham and Patricia L. Brantingham, focusing on the interaction between space and criminals. Ronald V. Clarke's "Routine Activity Theory" was also introduced and incorporated into the evaluation approach. We analyzed based on the correlation between the criminal, user, and spatial elements of the public restroom in terms of the criminal's actions, the spatial relevance to crime, and user exposure during use. Using these criteria, we developed an algorithm to evaluate th spatial elements of public restroom. Based on this, we created an application, demonstrating the feasibility of developing on evaluation tool.

• 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.

• Journal of the Institute of Electronics and Information Engineers
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• v.51 no.6
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• pp.143-151
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• 2014

Recently, as smartphones are widespread, a variety of user's information is created and managed in smartphones. Especially the location information can show the user's position at a specific time and the user's area of interest, which could be very useful during criminal investigation. Although the location information plays an important role in solving the crimes such as serial murder, rape and arson cases, there is a lack of research on location information for digital forensics. In this paper, we analyze the location information from logs, images, and applications on android, and we suggest the integrated model for analyzing location information. The proposed model may be useful in criminal investigation by improving the efficiency of data analysis and providing information about a criminal case.