• Title/Summary/Keyword: 범죄위험

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Visualized Determination for Installation Location of Monitoring Devices using CPTED (CPTED기법을 통한 모니터링 시스템 설치위치 시각화 결정법)

  • Kim, Joohwan;Nam, Doohee
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.15 no.2
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    • pp.145-150
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    • 2015
  • Needs about safety of residents are important in urbanized society, elderly and small-size family. People are looking for safety information system and device of CPTED. That is, Needs and Installations of CCTV increased steadily. But, scientific analysis about validity, systematic plan and location of security CCTV is nonexistent. It is simply put these devised in more demanded areas. It has limits to look for safety of residents by increasing density of CCTVs. One of the characteristics of crime is clustering and stong interconnectivity. So, exploratory spatial data of crime is geo-coded using 2 years data and carried out cluster analysis and space statistical analysis through GIS space analysis by dividing 18 variables into social economy, urban space, crime prevention facility and crime occurrence index. The result of analysis shows cluster of 5 major crimes, theft, violence and sexual violence by Nearest Neighbor distance analysis and Ripley's K function. It also shows strong crime interconnectivity through criminal correlation analysis. In case of finding criminal cluster, you can find criminal hotspot. So, in this study I found concept of hotspot and considered technique about selection of hotspot. And then, selected hotspot about 5 major crimes, theft, violence and sexual violence through Nearest Neighbor Hierarchical Spatial Clustering.

Development of a mobile crime prevention application based on the android platform (안드로이드 기반의 모바일 밤길 지킴이 어플리케이션 개발)

  • Lee, Ajeong;Lee, Minsoo
    • Proceedings of the Korea Information Processing Society Conference
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    • 2010.11a
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    • pp.439-442
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    • 2010
  • 사회적으로 문제가 되고 있는 밤 길 치안 문제를 해결하기 위해 안드로이드 기반의 모바일 밤길 지킴이 어플리케이션을 개발하였다. 먼저 위험 상황에 있는 사용자가 간편한 조작으로 현재의 위험을 자신이 설정해 놓은 지인에게 알릴 수 있게 한다. 위험 메시지를 받은 보호자는 현재 위험에 처해 있는 사용자의 위치를 실시간으로 확인할 수 있고 사용자에게 전화를 걸거나, 주위 사람들에게 신속하게 위험을 전파하여 효과적인 대처가 가능하고, 관공서에 현재 사용자의 위치 정보, 사진 및 음성과 함께 위험을 알릴 수 있도록 한다. 또한, 어플리케이션 사용자들이 위험 신호를 감지하였던 위치 정보를 저장하여 다른 사용자들이 이 장소에 접근하면 경고 알림을 제공하여 범죄 가능성에 대해 인지하도록 주지시킨다. 정확한 위험 감지와 빠른 피드백 서비스를 통해 사용자가 믿고 쓸 수 있는 범죄 예방 서비스를 제공한다.

Probabilistic Prediction of the Risk of Sexual Crimes Using Weight of Evidence (Weight of Evidence를 활용한 성폭력 범죄 위험의 확률적 예측)

  • KIM, Bo-Eun;KIM, Young-Hoon
    • Journal of the Korean Association of Geographic Information Studies
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    • v.22 no.4
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    • pp.72-85
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    • 2019
  • The goal of this study is to predict sexual violence crimes, which is an routine risk. The study used to the Weight of Evidence on sexual violence crimes that occurred in partly Cheongju-si for five years from 2011 to 2015. The results are as follows. First, application and analysis of the Weight of Evidence that considers the weight of evidence characteristics showed 8 out of total 26 evidences that are used for a sexual violence crimes risk prediction. The evidences were residential area, date of use permission for building, individual housing price, floor area ratio, number of basement floor, lot area, security light and recreational facility; which satisfied credibility in the process of calculating weight. Second, The weight calculated 8 evidences were combined to create the prediction map in the end. The map showed that 16.5% of sexual violence crimes probability occurs in 0.3㎢, which is 3.3% of the map. The area of probability of 34.5% is 1.8㎢, which is 19.0% of the map and the area of probability of 75.5% is 2.0㎢, which is 20.7% of the map. This study derived the probability of occurrence of sexual violence crime risk and environmental factors or conditions that could reduce it. Such results could be used as basic data for devising preemptive measures to minimize sexual violence, such as police activities to prevent crimes.

Crime Incident Prediction Model based on Bayesian Probability (베이지안 확률 기반 범죄위험지역 예측 모델 개발)

  • HEO, Sun-Young;KIM, Ju-Young;MOON, Tae-Heon
    • Journal of the Korean Association of Geographic Information Studies
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    • v.20 no.4
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    • pp.89-101
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    • 2017
  • Crime occurs differently based on not only place locations and building uses but also the characteristics of the people who use the place and the spatial structures of the buildings and locations. Therefore, if spatial big data, which contain spatial and regional properties, can be utilized, proper crime prevention measures can be enacted. Recently, with the advent of big data and the revolutionary intelligent information era, predictive policing has emerged as a new paradigm for police activities. Based on 7420 actual crime incidents occurring over three years in a typical provincial city, "J city," this study identified the areas in which crimes occurred and predicted risky areas. Spatial regression analysis was performed using spatial big data about only physical and environmental variables. Based on the results, using the street width, average number of building floors, building coverage ratio, the type of use of the first floor (Type II neighborhood living facility, commercial facility, pleasure use, or residential use), this study established a Crime Incident Prediction Model (CIPM) based on Bayesian probability theory. As a result, it was found that the model was suitable for crime prediction because the overlap analysis with the actual crime areas and the receiver operating characteristic curve (Roc curve), which evaluated the accuracy of the model, showed an area under the curve (AUC) value of 0.8. It was also found that a block where the commercial and entertainment facilities were concentrated, a block where the number of building floors is high, and a block where the commercial, entertainment, residential facilities are mixed are high-risk areas. This study provides a meaningful step forward to the development of a crime prediction model, unlike previous studies that explored the spatial distribution of crime and the factors influencing crime occurrence.

A Study on the Justifiable Use of Weapons by Private Security: Focusing on Multi-user Facilities (민간 경비원(보안요원)의 정당한 무기사용 방안 연구: 다중이용시설을 중심으로)

  • Oh, Hangil;Ahn, Kyewon;Na, Yeji
    • Proceedings of the Korean Society of Disaster Information Conference
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    • 2023.11a
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    • pp.293-294
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    • 2023
  • 2023년 8월 3일 다중이용시설과 운송시설이 맞닿아 있는 서현역 부근의 다중이 밀집한 장소에서 차량돌진 및 흉기난동의 묻지마 범죄가 발생하였다. 차량을 인도로 몰아 보행자를 들이받은 뒤 백화점 내부로 들어가 흉기를 휘둘러 차량돌진으로 5명, 흉기난동으로 9명의 피해자가 발생하였다(리차드김, 2023). 서현역의 묻지마 범죄 이후, '살인예고 지도' 서비스의 등장하면서 많은 이용객이 상시 붐비는 번화가 및 백화점 등의 다중이용시설을 이용하는 시민들의 불안감이 전국적으로 크게 확산하고 있다(김잔디 & 최윤선, 2023). 급격히 늘어나는 국민의 불안감으로 정부에서는 '묻지마 범죄'를 '이상동기범죄'로 명명하고 근절을 위해, 사실상 테러와 비슷한 수준의 강력한 대책을 추진하고 있다(강은민, 2023). 이상동기범죄에 따른 강력한 대책으로 국무조정실(대테러센터), 경찰청 등 관계부처의 다중이용시설 대한 안전대책들이 강구되어지고 실정에서 「경비업법」에 따라 시설의 위험발생을 방지하는 업무를 담당하고 있는 민간 경비원에게 이용객의 안전을 보호하고 피해를 최소화하기 위한 일선 역할이 중요해졌다. 하지만, 이상동기범죄에 대한 일선의 초동대응이 인력과 장비, 정당방위에 대한 법제도의 뒷받침 미흡 등으로 인해 민간 경비원의 실질적인 대응이 어려운 실정이다. 많은 사람의 왕래가 있는 다중이용시설에서의 민간 경비원 최소 경력배치 기준, 현행범 제압을 위한 무기사용 기준, 이용객 보호를 위한 경비원 위력 사용 기준 등의 제도적으로 마련되어 있지 않아 민간 경비원이 범죄로부터 시설 이용객을 보호하는 것은 쉽지 않은 것이 현실이다. 따라서 본 연구에서는 다중이용시설 묻지마 범죄 등의 위험성과 민간 경비원의 무기사용과 관련한 법제도적 한계점을 고찰하여, 이에 대한 개선방안을 제시하고자 한다.

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Implementation of a crime prevention System using Smartphone (스마트폰을 활용한 범죄 예방 시스템 구현)

  • Lee, Jae-Gil;Yoon, Seung-Hyun
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2014.07a
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    • pp.465-466
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    • 2014
  • 개발된 장치와 앱을 사용하면 시중에 나와 있는 범죄 예방 어플리케이션과는 다르게 스마트폰에서 물리적인 버튼을 사용하지 않고 사용자의 음성으로 이벤트를 발생시켜 자신의 위치정보를 미리 지정한 전화번호로 SMS를 보내고 자신의 스마트폰에서 사이렌을 자동으로 동작시킴으로서 위험한 상황에서도 편리하게 사용 할 수 있어 범죄 예방에 도움이 될 것이다.

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Taxonomy and Countermeasures for Generative Artificial Intelligence Crime Threats (생성형 인공지능 관련 범죄 위협 분류 및 대응 방안)

  • Woobeen Park;Minsoo Kim;Yunji Park;Hyejin Ryu;Doowon Jeong
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.34 no.2
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    • pp.301-321
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    • 2024
  • Generative artificial intelligence is currently developing rapidly and expanding industrially. The development of generative AI is expected to improve productivity in most industries. However, there is a probability for exploitation of generative AI, and cases that actually lead to crime are emerging. Compared to the fast-growing AI, there is no legislation to regulate the generative AI. In the case of Korea, the crimes and risks related to generative AI has not been clearly classified for legislation. In addition, research on the responsibility for illegal data learned by generative AI or the illegality of the generated data is insufficient in existing research. Therefore, this study attempted to classify crimes related to generative AI for domestic legislation into generative AI for target crimes, generative AI for tool crimes, and other crimes based on ECRM. Furthermore, it suggests technical countermeasures against crime and risk and measures to improve the legal system. This study is significant in that it provides realistic methods by presenting technical countermeasures based on the development stage of AI.

Effect of Choice of Overseas Travel on Fear of risk in Overseas (해외에서 발생한 위험에 대한 두려움이 해외여행 선택에 미치는 영향)

  • Shin, Jaehun;Kim, Sangwooon
    • Journal of the Society of Disaster Information
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    • v.15 no.2
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    • pp.198-205
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    • 2019
  • Purpose: This study was conducted and analyzed using statistical techniques to examine the impact of fear of risk committed by risk committed overseas on people who are about to travel abroad. Method: In the event of a risk, fear of a risk occurs, and fear of a risk adversely affects people's daily lives, and in the event of a decline in daily life, affecting the economy and social activities of the area, a small risk often has a huge impact on society. In particular, the fear of risk committed abroad has an impact on overseas activities as overseas travel has been activated in time for the global era. Result and Conclusion: Therefore, according to the research, the fear of crimes committed overseas has a negative effect on the choice of overseas travel.

Crime Prediction Model based on Meteorological Changes and Discomfort Index (기상변화 및 불쾌지수에 따른 범죄발생 예측 모델)

  • Kim, JongMin;Kim, MinSu;Kim, Kuinam J.
    • Convergence Security Journal
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    • v.14 no.6_2
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    • pp.89-95
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    • 2014
  • This study analyzed a correlation between crime and meteorological changes and discomfort index of Seoul and p resented a prediction expression through the regression analysis. For data used in this study, crime data from Januar y 2008 to December 2012 of Seoul Metropolitan Police Agency and meteorological records and discomfort index recor ded in the Meteorological Agency through the portal sites were used. Based on this data, SPSS 18.0 was used for the regression analysis and the analysis of correlation between crime and meteorological changes and discomfort index and a prediction expression was derived through the analysis and the risk index was shown in 5 steps depending on predicted values obtained through the prediction expression derived. The risk index of 5 steps classified like this is considered to be used as important data for crime prevention activities.

Etiology of Sex Offences and Intervention Strategy (성폭력 범죄의 원인과 개입전략에 대한 고찰)

  • Sun-Young Koh;Jong-Hee Yang;Soo Jung Lee
    • Korean Journal of Culture and Social Issue
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    • v.10 no.spc
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    • pp.117-146
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    • 2004
  • This paper is a preliminary literature review to give lights on the importance of academic research on sex offences. First, definition and etiological factors of sex offences were introduced and then it was attempted to classify offensive behaviors. Furthermore, it was explored on which aspects of our criminal justice system the research results in the Western societies could be applied. Related to recidivism research, risk factors were explored again and intervention strategies were investigated to reduce the future risk of sex offenders. Finally, these findings were evaluated for the applicability to Korean criminal justice system.

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