• Title/Summary/Keyword: IT Crime

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Crime Prevention Analysis and Design Guideline of the Elementary School in Urban Residential Blocks (주거지 내 초등학교의 범죄안전성 분석과 계획방안)

  • Kim, Lee-Won;Yang, Woo-Hyun
    • Journal of the Korean housing association
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    • v.22 no.6
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    • pp.71-82
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    • 2011
  • Recently the crime against elementary school students has been rapidly increasing. Under these circumstances, this study is to analyze the basic principles of Crime Prevention Through Environmental Design (CPTED) for the elementary school in urban residential area, and suggest some planning and design guidelines. Among 59 elementary schools in Pyongchon, Bundang, and Pangyo new towns, 11 distinctive schools were selected for analysis study. School cases were investigated comparatively from the viewpoints of visibility, securing of observers, activity support and reinforced territoriality on the basis of theoretical crime prevention concepts. The analysis adopts various methods including theoretical research, field study, observation, and examination of plan. Some of findings of this analysis are as follows. Most of schools rely on the mechanical and physical devices such as CCTV, gate control, or walls, which are considered to be quite passive measures and ineffective for the crime prevention. Other effective methods such as offering school facilities to the public or public space sharing with surrounding residents, for the protection of crimevulnerable students by public eyes. Therefore, in order to prevent crimes effectively, it is urgently required to analyze the environments around and in the school, and to improve physical conditions on the basis of CPTED principles.

Spatial Crime Analysis using GIS (GIS를 이용한 범죄의 공간적 특성)

  • Jeon, Jae-Han;Yang, Hyo-Jin;Kwon, Jay-Hyoun
    • Journal of Korean Society for Geospatial Information Science
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    • v.15 no.1 s.39
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    • pp.3-7
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    • 2007
  • To deal with the modern intellectual criminal acts, various efforts have been tried. Especially, it is not difficult to watch the recent activities to analyze the criminal characteristics spatially using computing and GIS technology. In this study, the spatial features and patterns of crime are investigated. Based on the real criminal record in Seoul Korea, the crime is reconstituted with four major categories such as assault, larceny, robbery, and rape. Then the variables are derived based on the theory of criminology. The kernal density analysis is performed to investigate the criminal distribution, and the correlation between the main criminal causes and the criminal outbreak is examined by buffering analysis. In addition, the land price and land usages are correlated with social-economic factors of criminal patterns to produce the final crime map.

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Predicting Reports of Theft in Businesses via Machine Learning

  • JungIn, Seo;JeongHyeon, Chang
    • International Journal of Advanced Culture Technology
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    • v.10 no.4
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    • pp.499-510
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    • 2022
  • This study examines the reporting factors of crime against business in Korea and proposes a corresponding predictive model using machine learning. While many previous studies focused on the individual factors of theft victims, there is a lack of evidence on the reporting factors of crime against a business that serves the public good as opposed to those that protect private property. Therefore, we proposed a crime prevention model for the willingness factor of theft reporting in businesses. This study used data collected through the 2015 Commercial Crime Damage Survey conducted by the Korea Institute for Criminal Policy. It analyzed data from 834 businesses that had experienced theft during a 2016 crime investigation. The data showed a problem with unbalanced classes. To solve this problem, we jointly applied the Synthetic Minority Over Sampling Technique and the Tomek link techniques to the training data. Two prediction models were implemented. One was a statistical model using logistic regression and elastic net. The other involved a support vector machine model, tree-based machine learning models (e.g., random forest, extreme gradient boosting), and a stacking model. As a result, the features of theft price, invasion, and remedy, which are known to have significant effects on reporting theft offences, can be predicted as determinants of such offences in companies. Finally, we verified and compared the proposed predictive models using several popular metrics. Based on our evaluation of the importance of the features used in each model, we suggest a more accurate criterion for predicting var.

CHARACTERISTICS OF DETAINED DELINQUENT ADOLESCENTS AND VARIABLES RELATED TO THE REPEATED CRIME DURING 6 MONTHS AFTER RELEASE (구속된 비행 청소년들의 특성 및 석방 후 6개월간 재범여부와 관련된 변인)

  • Kim, Won-Sik;Koh, Seung-Hee;Koo, Yong-Jin;Kim, Hong-Chang;Suh, Dong-Hyuck;Chung, Sun-Ju
    • Journal of the Korean Academy of Child and Adolescent Psychiatry
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    • v.10 no.2
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    • pp.201-211
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    • 1999
  • Objectives:This study investigated the characteristics of detained delinquent adolescents and variables related to the repeated crime during 6 months after release. Methods:The socio-demographic and crime-related characteristics of 73 detained adolescents were evaluated by semi-structured interviews and police records, and the psychological characteristics of them measured by the MMPI. We also compared the characteristics between subjects with and without repeated crime during 6 months after release. Results:1) Most of detained adolescents had families with low socioeconomic status(77%) and broken families(48%). Sixty-six percent of them were dropped out of school. The most frequent crime pattern was theft(49%), and with accomplice(77%). Seventy-five percent of total subjects had the records of previous conviction. Of the previous convictions, seventy-eight percent was same with the present crimes. 2) Subjects with repeated crime during 6 months after release were younger and had higher T-score on Pa scale of MMPI than the subjects without repeated crime. More adolescents with repeated crime had broken families than those without repeated crime. They also showed the crime-related characteristics of higher percent of theft among crime patterns, higher incidence of previous conviction, younger age of the first crime, and shorter crime-free duration from the last to present crime. Conclusion:These results of present study suggest that the development and the persistence of adolescent delinquency would be resulted from interaction of factors of individual, family, school, and community. By the comparison between subjects with and without repeated crime, it was found that familial dysfunction, younger age at first crime, presence of previous conviction might be the risk factors for repeated delinquency. To prevent repeated crime of delinquent adolescents more effectively, early therapeutic intervention and the development of programs to help adaptation in school and community would be essential.

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Industrial Security Crime's Realities and Counter-Measure (산업보안범죄의 실태 및 대응방안)

  • Seo, Bong Sung;Lim, You Seok
    • Convergence Security Journal
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    • v.15 no.6_2
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    • pp.141-149
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    • 2015
  • Modern society is to have an significant impact on the competitiveness of the country in which the economic value is very high occupancy and ensure a state-of-the-art science and technology. The country's core technology or industry security crimes going seized state-of-the-art technology firms can threat of damage to the country's economic security. In particular, the defense industry serious crime that is directly related to national security. The company's core technology and trade secrets leaked once the industrial countries must prevent security breaches and offenses of strict punishment measures because it is impossible to recover. Also, some advanced countries directly has been operating industrial security crime for the country's economy and national security. In recent years, Nation core technology infringement cases are rapidly increasing in the country. In addition, industrial security crime threat to national security. Therefore, the industry security crimes damage to the national security that infringe on the business secrets of core technologies and businesses. It is necessary to identify that industry security crime associated with the visibility of the broad scope of intellectual property protection.

The Effects of Urban Park and Vegetation on Crime in Seoul and Its Planning Implication to CPTED (CPTED 요소로써 서울시 공원·녹지의 효과와 계획적 함의)

  • Cho, Min-gyun;Park, Chan;Jang, Jeong-in
    • Journal of the Korean Institute of Landscape Architecture
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    • v.46 no.3
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    • pp.27-35
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    • 2018
  • In the mandatory application of the CPTED, only negative parts of urban parks and vegetation were reflected. Therefore, this study tries to present the positive effects of urban parks and vegetation. The purpose of this study is to demonstrate the effects of urban parks and vegetation on crime occurrence and to suggest the planning implications of this to CPTED based on theory related to crime, environmental psychology, and crime occurrence analysis. This study used the crime occurrence data of Seoul, NDVI, population, distance from urban park, floating population, and the like. This study collected data from the Statistics Korea, the local government, and Landsat 8 satellite images provided by the USGS and created data of environmental variables and social variables by district using ArcGIS and statistical program. Literature analysis, correlation analysis, regression analysis, and geographically weighted regression were used to determine the relationship between crime occurrence and environmental variables, and to discuss its implication. It was found that crime occurrence has a relationship with the total population (${\beta}=.663$), the number of amusement facilities (${\beta}=.447$) and the area of a police station jurisdiction (${\beta}=.395$). This confirms that a crime rate is low when the floating population is large (${\beta}=-.241$) and vegetation vitality is high (NDVI, ${\beta}=-.281$). Vegetation vitality (NDVI) is effective in lowering violence through psychological stabilization, strengthening territoriality and improving regional image. The implications for the allocation of urban park and vegetation, program and management plan of urban park and vegetation to reduce crime occurrence have therefore been presented.

Analysis of Prostitution Survey Using Randomized Response Model(RRM) (확률화응답모형(RRM)을 활용한 성매매조사 분석)

  • Son, Chang-Kyoon;Joo, Jae-Jin
    • The Journal of the Korea Contents Association
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    • v.17 no.10
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    • pp.65-71
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    • 2017
  • It is true that there is a possibility of distortion in the statistical surveys or actual surveys depending on which investigator, what purpose, and how research method. Even statistical results are more likely to be 'lying', and statistics on crime or delinquent are sometimes referred to as 'whopper'. There are many reasons for not trusting statistics on crime or delinquent, but one of the main causes is the existence of a hidden crime or an unreported crime. In order to overcome these hidden crime problems, victim surveys or self-report surveys are being used. However, this method also has the problem of underreporting or overreporting depending on the type of crime. Because investigations into crime, delinquency, and deviant behavior are very sensitive, the subjects have a psychological burden. A randomized response model has been developed and used in the field of statistics as a way to induce a true answer to the sensitive content which is burdensome to reveal the experiences of the survey subjects. This technique is a very useful way to solve the problems of victim surveys or self-report surveys. Nevertheless, there are very few cases in the field of criminology in Korea. Therefore, in order to examine the applicability of the randomized response model in the field of criminology, this study used the randomized response model to actually measure the content of prostitution for college students and the effectiveness of the randomized response model was confirmed.

Hotspot Analysis of Urban Crime Using Space-Time Scan Statistics (시공간검정통계량을 이용한 도시범죄의 핫스팟분석)

  • Jeong, Kyeong-Seok;Moon, Tae-Heon;Jeong, Jae-Hee
    • Journal of the Korean Association of Geographic Information Studies
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    • v.13 no.3
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    • pp.14-28
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    • 2010
  • The aim of this study is to investigate crime hotspot areas using the spatio-temporal cluster analysis which is possible to search simultaneously time range as well as space range as an alternative method of existing hotspot analysis only identifying crime occurrence distribution patterns in urban area. As for research method, first, crime data were collected from criminal registers provided by official police authority in M city, Gyeongnam and crime occurrence patterns were drafted on a map by using Geographic Information Systems(GIS). Second, by utilizing Ripley K-function and Space-Time Scan Statistics analysis, the spatio-temporal distribution of crime was examined. The results showed that the risk of crime was significantly clustered at relatively few places and the spatio-temporal clustered areas of crime were different from those predicted by existing spatial hotspot analysis such as kernel density analysis and k-means clustering analysis. Finally, it is expected that the results of this study can be not only utilized as a valuable reference data for establishing urban planning and crime prevention through environmental design(CPTED), but also made available for the allocation of police resources and the improvement of public security services.

The Differences of University Student of Cyber Crime Recognition according to Internet Addiction Tendency (대학생의 인터넷 중독 경향에 따른 사이버 범죄인식의 차이)

  • Kim, Joung-Gyu
    • Proceedings of the Korea Contents Association Conference
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    • 2007.11a
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    • pp.298-304
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    • 2007
  • The purpose of this study was to exam the casual relationship between Internet addiction and cyber crime's recognition of university student. This study summarize three results. First, male student Internet addiction was higher than female student. Second, it was analyzed that internet addiction group recognizes cyber crime averagely higher than general use group. It is understood that according as internet practical use time increases, they recognize much danger that exposed cyber crimie. Third, cyber criminal recognition by internet addiction did multiplex regression analysis. As a result, Internet addiction was analyzed that cyber crime recognition increases according as increasing of addiction level that connected with usually life difficulty and deviation behavior.

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A Vehicle Detection System Robust to Environmental Changes for Preventing Crime (환경 변화에 강인한 방범용 차량 검지 시스템)

  • Bae, Sung-Ho;Hong, Jun-Eui
    • Journal of Korea Multimedia Society
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    • v.13 no.7
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    • pp.983-990
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    • 2010
  • The image processing technique is very sensitive to the variation of external environment, so it tends to lose a lot of accuracy when the external environment changes rapidly. In this paper, we propose a vehicle detecting and tracking system for crime prevention suitable for an external environments with various changes using the image processing technique. Because the vehicle camera detector for crime prevention extracts and tracks the vehicle within one lane, it is important to classify a characteristic region rather than the contour of a vehicle. The proposed system detects the entrance of the vehicle using optical flow and tracks the vehicle by classifying the headlights, the bonnet, the front-window and the roof area of the vehicle. Experimental results show that the proposed method is robust to the environmental changes such as type, speed and time of a vehicle.