• Korean Security Journal
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• no.48
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• pp.177-206
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• 2016

The purpose of this study is to verify the factors that affect the fear of crime by applying the risk interpretation model. Especially, whereas previous studies have not proven micro individual factor that the risk interpretation model had presented, This study includes micro individual elements such as neighborhood factor, perceived risk of crime, fears of crime as main variables. This study utilized secondary data of the National Crime Victimization Survey 2012, conducted by the Korean Institute of Criminology. In this study, multiple regression analysis of two stages and Sobel Test were conducted for verifying the individual influence of each independent variables and identifying the causal relationship between the variables set out in the risk analysis model. As the result, it appeared that the higher level of perceived risk of crime, neighborhood factor, crime experience, education, income cause the higher degree of the fear of crime. On the other hand, the lower degree of age was found to induce the higher level of the fear of crime. In addition, female showed the higher degree of the fear of crime than man. The causal relationship between the variables set out in the risk interpretation model was presented significantly in all variables, except for education.

• Korean Security Journal
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• no.45
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• pp.221-242
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• 2015

Verification for the causality of factors affecting fear of criminal victim which has a bad influence on the senior's quality of life and directions to prevent the crimes against the elderly have been suggested. This study proves the applicability for fear of crime to old people especially based on risk interpretation model consisting of perceived risk of crime, behavioral response and fear of crime. Analysis results are as follows. First, disorder factors as social characteristics showed statistically significant influences on perceived risk of crime, behavioral response and fear of crime. Second, direct experienced crime victimization only affected perceived risk of crime while indirect experienced crime victimization had an effect on perceived risk of crime and fear of crime as well. Third, perceived risk of crime influenced fear of crime. Fourth, perceived risk of crime was concerned with fear of crime. Fifth, behavioral response was affiliated with fear of crime. These results reveal that risk interpretation model can be applied to senior's fear of crime. Moreover, disorder factor as social characteristic and experienced crime victimization as individual characteristic help the elderly perceive the risk of crime, bring behavioral response. Consequently, they play a role of factors affecting fear of crime. It is emphasized that support policy is required for the elderly who had experienced crime and stabilization of community environment if necessary to improve the quality of life.

• Journal of the Korea Society of Computer and Information
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• v.14 no.10
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• pp.207-215
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• 2009

Recently, the research of the analysis of the crime spatial is increased by using the computer information technology and GIS (Geometric Information System) in order to prevent the urban crime so as to increase the urbanization rate. In this paper, a probability map formed by the raster is organized by the quantification of crime risk per the cell using the region property of the urban spatial information in the static environment. Also, a map of the risk probability is constructed based on the relative risk by the region property, the relative risk by the facility, the relative risk by the woody plant and the river, and so on. And, this integrated risk probability map is calculated by averaging the individual cell risk applied to the climatic influence and the seasonal factor. And, a probability map of the overall risk is generated by the interpretation key of the crime occurrence relative risk index, and so, this information is applied to the probability map quantifying the occurrence crime pattern. And so, in this paper, a methodology of the modeling and the simulation that this crime risk probability map is modified according to the passage of time are proposed.

• Journal of the Korea Society of Computer and Information
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• v.20 no.1
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• pp.255-263
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• 2015

In this paper, we suggest a plan to take advantage of the SNS data to proactively identify the information on crime risk factor and to prevent crime. Recently, SNS(Social Network Service) data have been used to build a proactive prevention system in a variety of fields. However, when users are collecting SNS data with simple keyword, the result is contain a large amount of unrelated data. It may possibly accuracy decreases and lead to confusion in the data analysis. So we present a method that can be efficiently extracted by improving the search accuracy through text mining analysis of SNS data.

• Journal of Digital Convergence
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• v.14 no.1
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• pp.339-351
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• 2016

Comprehensive Understanding of the Double-sidedness of Sexual Fantasy: focused on disability, crime and treatment. This study was to understand the double-sidedness of sexual fantasy. First, definition of normal sexual fantasy and abnormal sexual fantasy in former researches is discussed. Secondly, sexual fantasy's role as a risk factor in the context of obsessional discomfort or sexual crime. Thirdly, guideline and principle when using sexual fantasy as a tool of treatment. Fourthly, measuring and evaluating tools of sexual fantasy were reviewed and necessity of developing new scale was proposed. In addition, summary and ideas for further research were suggested.

• The Journal of the Korea institute of electronic communication sciences
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• v.11 no.2
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• pp.237-244
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• 2016

There are two destinations to aware the risk of common life. Recognition of the condition of pedestrian's own and the environmental factor awareness both are beneficial for risk awareness. It is good way of advancing the crime prevention effectivity that including IoT technology at the crime prevention research. The purpose of this research is that advanced way of crime prevention with multi-sensor data fusion of the condition of pedestrian and environmental factors. The 3-axis acceleration sensor is available to recognize the gait and the illumination sensor also useful to infer the road state. This research suggest a novel way of assess these factors and the result is the degree of danger.

• Journal of Information Processing Systems
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• v.16 no.4
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• pp.760-773
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• 2020

When a crime occurs, the information necessary for solving the case, and various pieces of the evidence needed to prove the crime are collected from the crime scene. The tangible residues collected through scientific methods at the crime scene become evidence at trial and a clue to prove the facts directly against the offense of the suspect. Therefore, the scientific investigation and forensic handling for securing objective forensic in crime investigation is increasingly important. Today, digital systems, such as smartphones, CCTVs, black boxes, etc. are increasingly used as criminal information investigation clues, and digital forensic is becoming a decisive factor in investigation and trial. However, the systems have the risk that digital forensic may be damaged or manipulated by malicious insiders in the existing centralized management systems based on client/server structure. In this paper, we design and implement a blockchain based digital forensic management model using Hyperledger Fabric and Docker to guarantee the reliability and integrity of digital forensic. The proposed digital evidence management model allows only authorized participants in a distributed environment without a central management agency access the network to share and manage potential crime data. Therefore, it could be relatively safe from malicious internal attackers compared to the existing client/server model.

• Journal of Satellite, Information and Communications
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• v.9 no.4
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• pp.57-62
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• 2014

In this paper, we proposed and implemented a crime pattern analysis algorithm using big data. The proposed algorithm uses crime-related big data collected and published in the supreme prosecutors' office. The algorithm analyzed crime patterns in Seoul city from 2011 to 2013 using the spatial statistics analysis like the standard deviational ellipse and spatial density analysis. Using crime frequency, We calculated the crime probability and danger factors of crime areas, time, date, and places. Through a result we analyzed spatial statistics. As the result of the proposed algorithm, we could grasp differences in crime patterns of Seoul city, and we calculated degree of risk through analysis of crime pattern and danger factor.

• Korean Journal of Culture and Social Issue
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• v.10 no.2
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• pp.39-77
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• 2004

This literature review introduced the concept of psychopathy which has never been defined academically in Korea. Also it is reviewed how this concept could be applied as latent factor of criminal behavior in the forensic settings. For this purpose, first of all, the periodical change of psychopathy definition was explored. Then it was investigated which determinants might develop psychopathy and what would be the behavioral characteristics of psychopaths. Finally, risk assessment tools measuring psychopathy were introduced and their predictive efficacy and applicability in Korean criminal justice system was discussed.

• Journal of Digital Convergence
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• v.12 no.2
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• pp.119-128
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• 2014

This Study investigated the differences of risk assessment tool and personality assessment inventory (PAI) by recidivism types of juvenile delinquents, the psychological factors that have a influence of juvenile behaviors. 268 incipient Juvenile criminals who had committed crime in the areas of Seoul, were categorized in the three degree of recidivism types. The result showed the significant differences among risk assessment tool, such as family functioning risk factor, school risk factor, away-from-home risk factor, delinquent risk factor, and personal risk factor. PAI scores among the recidivism type showed the significant differences on SOM, DEP, PAR, SCZ, BOR, ANT, ALC, DRG, AGG, SUI, STR, NON, DOM, and WRM. The predictor variables explained a risk assessment tool were STR, ALC, DEP, DOM and WRM in PAI scales. And the interventions and preventions about juvenile delinquents discussed in psychological aspects.