• Title/Summary/Keyword: 범죄학

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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.

사이버범죄의 암호화된 증거 수집에 관한 연구

  • 김소정;임종인;오일석
    • Review of KIISC
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    • v.13 no.5
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    • pp.113-122
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    • 2003
  • 현대는 인터넷과 컴퓨터 없이는 잠시도 운용될 수 없는 사회이지만 이를 불법적으로 이용한 범죄행위도 점차 증가하고 있다. 이들 컴퓨터 범죄는 익명성에 기반한 대담성을 보이고 있으며, 개인의 사회적 존재로써의 자각에 있어서도 탈개인화됨에 따라 더 많은 우려를 낳고 있다. 이에 따라 일반 컴퓨터 사용자들의 프라이버시 보호를 위한 방법으로 암호화 방법을 점점 더 많이 사용하고 있는데, 이에 비례해 범죄자들의 암호사용도 증가하고 있다. 그렇다면, 범죄자들이 암호를 사용해 자신들의 범죄증거를 숨기고 있는 경우, 이를 수사하기 위해 공권력 및 수사기관은 어떻게 해야 될 것인가\ulcorner 본 논문은 이러한 문제제기를 통해 새로운 환경에 의해 변화된 코드를 활용하는 새로운 법제도를 통한 적극적인 대비방안을 모색해 보고자 한다. KLS와 같은 신기술을 수사기관 및 법집행기관이 신중하게 사용하여 국가의 법 집행력과 프라이버시권이라는 두 가지 근본 가치의 균형을 이룰 수 있는 방안을 고려하여야 할 것이다. PRIVACY와 SECURITY라는 동전의 양면은 현실생활의 법제도를 그대로 옮겨놓는 것만으로는 한계가 있다. 현재 암호와 관련한 보든 논의는 공론화 되지 못하고있다. 좀 더 공개적으로 암호를 사용한 범죄 행위에 대한 현황과 또 이를 대처한 수사기관의 수사 활동에 대해 논의하고, 그 과정에서 어떤 문제점들이 발생되고 있으며, 이들 문제를 해결하기 위해 필요한 조치들이 무엇인지에 대해 논의하고, 해외 각 국은 이 문제를 해결하기 위해 어떠한 노력들을 기울이고 있는지 살펴본후 종합적인 안목으로 시의 적절한 대책을 세우는 시발점이 되었으면 한다.

The Behavior Analysis on Arson Crime Scene (방화현장에 대한 행동분석)

  • Lee, Sang-Jun;Kim, Yun-Hee
    • Journal of Korean Institute of Fire Investigation
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    • v.8 no.1
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    • pp.25-39
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    • 2006
  • Recently the arson crime is increased remarkably in comparison with different violent crimes and the pace of increase is very quick. But Social interest about the crime is still slight, it is a fact that the scientific and professional approaches about the crime is insufficient. This problem causes lower arrest rate of the arson crime than the other crime. So, we need to infer the behavior of a arsonist at the crime scene and analyze the profile and psychological state of the suspect from unique point at the crime scene scientifically and professionally. After arresting the arsonist, we interviewed him and compared a product of interview with our analysis previous to arrest.

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A Framework Development for Fake App Detection and Official App Information Sharing (가짜 앱 탐지 및 공식 앱 정보 공유 프레임워크 개발)

  • Jinwook Kim;Yujeong No;Wontae Jung;Kyungroul Lee
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2023.07a
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    • pp.213-214
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    • 2023
  • 스마트폰은 앱을 통하여 사람들에게 다양하고 유용한 기능을 제공하며, 새로운 앱들이 계속해서 개발되어 출시되고 있다. 그러나 이러한 긍정적인 측면에서 불구하고, 사람들의 편리한 사용에 대한 욕구를 이용하여, 신종 앱 사기와 같은 범죄가 발생하고 있으며, 이를 악용하여 금전적으로 피해를 주거나 개인정보를 탈취하는 범죄로가 증가되는 추세이다. 이와 같은 앱으로 인한 범죄를 대응하기 위하여, 신종 앱 사기 범죄를 분석하고 해결하는 방안이 요구되는 실정이다. 따라서 본 논문에서는 신종 앱 사기 범죄에 악용되는 가짜 앱을 탐지하고, 공식 기관에서 제공하는 정보를 기반으로 가짜 앱과 공식 앱에 대한 대량의 정보를 공유하는 프레임워크를 개발한다. 개발한 프레임워크를 통하여, 정보를 공유한 사람들에게 가짜 앱에 대한 정보를 알려주고, 공식 기관의 앱을 확인하는 안전한 모바일 환경을 제공할 것으로 사료된다.

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A Selection of Artificial Surveillance Zone through the Spatial Features Analysis of Crime Occurrence Place (범죄발생지점의 공간적 특성분석을 통한 인위적 감시지역의 선정)

  • Kim, Dong-Moon;Park, Jae-Kook
    • Journal of Korean Society for Geospatial Information Science
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    • v.18 no.3
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    • pp.83-90
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    • 2010
  • In modern society, there has been an increase in needs to protect the life and property of the people, because the number of various crimes is on the increase due to the sudden and complicated changes of the urban environment. For the needs, security persons in the urban area are expanding the role and skill of police for more effective crime prevention and surveillance, although the number of policeman/woman is insufficient and their tasks are hard. Recently, a system to observe and prevent crime in effective has been introduced by using such an artificial surveillance device as CCTV to monitor focusing on one area for 24 hours. However, the system brings such problems as the insufficiency of systematic criteria to install surveillance device and the invasion of privacy. Therefore, in this study, artificial surveillance zones to monitor crimes are selected by applying spatial features between artificial surveillance devices including CCTV and crime occurrence place, and using GIS spatial analysis techniques. As a result of selecting, it's found that the number of CCTV is absolutely insufficient and spatial distribution is not fully considered in the existing location of installed CCTV.

An Empirical Test of Social Learning Theory and Complementary Approach in Explanation of University Students' Crimes in Social Network Services (SNS상의 범죄행위 설명에 있어 사회학습이론과 보완적 논의의 검증)

  • Lee, Seong-Sik
    • Informatization Policy
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    • v.22 no.4
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    • pp.91-104
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    • 2015
  • This study tests the effects of differential association, definitions, differential reinforcement and imitation from social learning theory in the explanation of university students' crimes in social network services. In addition, this study tests the interaction effects between social learning factors and other factors such as low self-control, subcultural environment, and crime opportunity for the integrated approach. Using data from 486 university students in Seoul, results show that both definition and imitation have significant influences on crimes, even though differential association and differential reinforcement factors have no significant influences on crimes in social network services. Results also reveal that there are significant interaction effects between definition and subcultural environment, which meana that definition has a strong effect on crimes in high subcultural environment. In addition, it is found that reinforcement has also a strong effect on crimes in high crime opportunity and that interaction effect between imitation and low self-control is significant, which means that imitation has a strong effect on crimes in low self-control students.

Construction of Urban Crime Prediction Model based on Census Using GWR (GWR을 이용한 센서스 기반 도시범죄 특성 분석 및 예측모델 구축)

  • YOO, Young-Woo;BAEK, Tae-Kyung
    • Journal of the Korean Association of Geographic Information Studies
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    • v.20 no.4
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    • pp.65-76
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    • 2017
  • The purpose of this study was to present a prediction model that reflects crime risk area analysis, including factors and spatial characteristics, as a precursor to preparing an alternative plan for crime prevention and design. This analysis of criminal cases in high-risk areas revealed clusters in which approximately 25% of the cases within the study area occurred, distributed evenly throughout the region. This means that using a multiple linear regression model might overestimate the crime rate in some regions and underestimate in others. It also suggests that the number of deserted houses in an analyzed region has a negative relationship with the dependent variable, based on the multiple linear regression model results, and can also have different influences depending on the region. These results reveal that closure signs in a study area affect the dependent variable differently, depending on the region, rather than a simple or direct relationship with the dependent variable, as indicated by the results of the multiple linear regression model.