• Title/Summary/Keyword: Serial Crimes

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Base Location Prediction Algorithm of Serial Crimes based on the Spatio-Temporal Analysis (시공간 분석 기반 연쇄 범죄 거점 위치 예측 알고리즘)

  • Hong, Dong-Suk;Kim, Joung-Joon;Kang, Hong-Koo;Lee, Ki-Young;Seo, Jong-Soo;Han, Ki-Joon
    • Journal of Korea Spatial Information System Society
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    • v.10 no.2
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    • pp.63-79
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    • 2008
  • With the recent development of advanced GIS and complex spatial analysis technologies, the more sophisticated technologies are being required to support the advanced knowledge for solving geographical or spatial problems in various decision support systems. In addition, necessity for research on scientific crime investigation and forensic science is increasing particularly at law enforcement agencies and investigation institutions for efficient investigation and the prevention of crimes. There are active researches on geographic profiling to predict the base location such as criminals' residence by analyzing the spatial patterns of serial crimes. However, as previous researches on geographic profiling use simply statistical methods for spatial pattern analysis and do not apply a variety of spatial and temporal analysis technologies on serial crimes, they have the low prediction accuracy. Therefore, this paper identifies the typology the spatio-temporal patterns of serial crimes according to spatial distribution of crime sites and temporal distribution on occurrence of crimes and proposes STA-BLP(Spatio-Temporal Analysis based Base Location Prediction) algorithm which predicts the base location of serial crimes more accurately based on the patterns. STA-BLP improves the prediction accuracy by considering of the anisotropic pattern of serial crimes committed by criminals who prefer specific directions on a crime trip and the learning effect of criminals through repeated movement along the same route. In addition, it can predict base location more accurately in the serial crimes from multiple bases with the local prediction for some crime sites included in a cluster and the global prediction for all crime sites. Through a variety of experiments, we proved the superiority of the STA-BLP by comparing it with previous algorithms in terms of prediction accuracy.

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Analysis of the Case with Serial Killer Young Cheol Yoo (유영철 연쇄살인사건 분석)

  • Lee, Jin-Dong;Lee, Sang-Han
    • Journal of forensic and investigative science
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    • v.2 no.1
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    • pp.32-51
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    • 2007
  • Serial violent crimes have occurred more frequently. Additional attention is paid to relevant areas in which discussions has also increased. This study analyzed Young-cheol Yoo, serial killer case. Two of Yoo's crimes were studied for modus operandi. The cases selected were the premeditated break-in homicide of upper-class elderly people and the impulsive homicide of the Hwanghak-Dong street vendor. Crime motives, targets, times, places, means and methods were analyzed. Profiling techniques in Young-cheol Yoo cases were evaluated and the problems discovered during investigation were discussed. The followings are the findings of the analysis of the serial killer Yoo cases. Yoo exhibited a hatred toward the rich, the elderly, and women as well as a fear of diseases and death. Yoo's crime targets were the elderly residing in wealthy houses, street vendors and prostitutes. The numbers of victims were: 3 men and 5 women victims in 4 homicide cases involving the elderly residents in wealthy houses; one man in 1 street vendor homicide case 11 women in 11 prostitute homicide cases, so total 20 persons were murdered in 16 cases. The time of the crimes were between 10 am and noon in the homicide cases of the elderly and very late at night or early in the morning in the prostitute homicide cases. Means and methods facilitated include the use of a knife as a threat and a hammer made by Yoo to strike the head and face of victims. In the homicide cases involving the elderly, he attempted to disguise the crime scene as a burglary or committed arson to destroy the evidence; in the prostitute homicide cases, bodies were mutilated and buried in secret. 1) Generally each serial killer case has different characteristics, motives, and purposes; while some serial killer cases involve similar methods, others use different methods. Unlike other crimes, serial killers' characteristics and tastes are very different, so it is difficult to explain serial killings based on a specific model. It is important to accurately capture modus operandi of each serial killing and for detectives to familiarize themselves with them. The process of tracing and use of imagination which follows a serial killer's psychology and thought must be used to find out what kind of thoughts pushed the killer to commit the crime. In order to investigate and research difficult subjects such as serial killing, various methods, skills, and relevant knowledge should be studied, and institutional endeavors should go hand in hand with individual efforts.

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Spatio-Temporal Patterns and Analysis Methods for Supporting the Efficient Investigation on Serial Crimes (효과적인 연쇄 범죄 수사 지원을 위한 시공간 패턴 및 분석 기법)

  • Hong, Dong-Suk;Seo, Jong-Soo;Han, Ki-Joon
    • Proceedings of the Korean Association of Geographic Inforamtion Studies Conference
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    • 2008.06a
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    • pp.477-484
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    • 2008
  • 연쇄 살인과 같은 강력 범죄의 심각성이 사회적 이슈가 되면서 이에 대한 효과적인 과학 수사의 필요성이 증가되고 있다. 특히, 연쇄 범죄 데이타에 대한 공간 분석을 통해 범죄자의 거점 위치를 예측하는 지리적 프로파일링과 미래에 발생될 범행 장소의 위치, 즉 기존 범행에 이어 일어날 다음 범행 위치 예측에 관한 연구가 활발하다. 그러나, 이와 관련된 기존 연구는 물리적인 거리에 대한 통계적 기법을 적용하거나 단순한 공간적 분석만을 적용하므로 낮은 예측 정확도를 보이는 문제점이 있다. 본 논문에서는 이러한 문제를 해결하고 보다 효과적인 연쇄 범죄 수사를 지원하는 방법으로써 연쇄 범죄 발생에 대한 공간적 시간적 분포 특성에 따른 시공간 패턴을 기반으로 다양한 시공간 분석을 적용하는 거점 위치 예측 기법과 다음 범행 위치 예측 기법을 제안한다. 제안 기법은 중심축을 따라 나타나는 선형 분포의 연쇄 범죄에서도 정확도 높은 예측이 가능하고, 다수의 서로 다른 군집들에 대해 각 군집내 범행에 대한 지역적 예측과 대상 영역의 모든 범행에 대한 전역적 예측이 가능하다. 또한 방향 패턴을 활용하여 다음 범행 위치 예측 정확도도 개선하였다.

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Digital Forensics for Android Location Information using Hierarchical Clustering (계층적 군집화를 이용한 안드로이드 위치정보에 대한 디지털 포렌식)

  • Son, Youngjun;Chung, Mokdong
    • 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.