• The Journal of Industrial Distribution & Business
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• v.12 no.6
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• pp.47-55
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• 2021

Purpose: Organizational crime is an offense committed by an individual or an official in a corporate entity for organizational gain. This study aims to explore the literature on challenges facing digital forensics and further discuss possible solutions to such challenges as far as the protection of corporate crime is concerned. Research design, data and methodology: Qualitative textual methodology matches the interpretative approach since it is a quality method meant to consider the inductivity of strategies. Also, a qualitative approach is vital because it is distinct from the techniques used in optimistic paradigms linked to science laws. Results: For achieving justice through the investigation of digital forensic, there is a need to eradicate corporate crimes. This study suggests several solutions to reduce corporate crime such as 'Solving a problem to Anti-forensic Techniques', 'Cloud computing technique', and 'Legal Framework' etc. Conclusion: As corporate crime increases in rate, the data collected by digital forensics increases. The challenge of analyzing chunks of data requires digital forensic experts, who need tools to analyze them. Research findings shows that a change of the operating system and digital evidence interpretation is becoming a challenge as the new computer application software is not compatible with older software's structure.

• Korean Security Journal
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• no.37
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• pp.83-108
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• 2013

Since the end of the Cold War and rapid globalization and technical developments, terrorist groups actively involved in criminal activities. Also criminal entrepreneurs became a major financial revenue for these terrorists groups. This newly patternized activities among terrorist groups is now called as Crime-Terror Nexus" indicating the changing nature of terrorism, which means two traditionally separate phenomena, crime and terrorism, became more similar. This new pattern of terrorism is considered to create synergy for the criminal organizations and terrorist groups, scholars believe that it would become a significant threat to the security of world community in the near future. Although the phenomenon of this crime-terror nexus is significant and imminent threats, there is lack of studies investigation this new evolution of terrorism with empirical data. Moreover there is literally no studies exploring factors relevant to the Crime-Terror Nexus. Therefore, this current study aims to conduct explorative investigation of factors affecting the "Crime-Terror Nexus" with a world terrorism data, MAROB(the Minorities at Risk Organizational Behavior), which is developed by START and Minority at Risk project and contains information terrorist groups in Middle-East and Africa region. Considering the significance of this new terrorism patterns and the challenging nature of conducting empirical studies on this topic, this study has great contribution on the development in the field of criminal justice as well as terrorism.

• Journal of the Korean Association of Geographic Information Studies
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• v.14 no.4
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• pp.194-207
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• 2011

This study tries to find the possibility to prevent crime by improving urban spatial environment through the analysis of spatial environment property that mutually coincides or differs by comparing the place where crime actually occurs and the place where citizen is afraid of crime. The method of study is as follows. First, the ontents scope and method of study was established by theoretic investigation of case study related to crime. Second, as crime cannot be prevented by police power only, CPSCP(Citizen Participation System for Crime Prevention) was developed so that all citizen can cooperatively participate in the crime prevention anytime and anywhere. Third, the data on the place where people feel fear in the region was collected by directly indicating the place where citizen is afraid of crime in the space by utilizing CPSCP. Fourth, the place where crime actually occurs and the place where citizen is afraid of crime are redundantly analyzed for comparative analysis of 2 places. The result shows that environmental design improving physical environment of urban space is necessary to prevent crime and to eliminate the fear of crime. The CPSCP developed by this study which will be advanced to U-crime prevention system will contribute to making citizen's own neighborhood a smart safety city autonomously.

• Journal of Internet Computing and Services
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• v.24 no.6
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• pp.99-105
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• 2023

In the 4th industrial revolution, the field of criminal justice is paying attention to Legaltech using artificial intelligence to provide efficient legal services. This paper attempted to create a crime prediction model that can apply Recurrent Neural Network(RNN) to increase the potential for using legal technology in the domestic criminal justice field. To this end, the crime process was divided into pre, during, and post stages based on the criminal facts described in the judgment, utilizing crime script analysis techniques. In addition, at each time point, the method and evidence of crime were classified into objects, actions, and environments based on the sentence composition elements and the 8 principles of investigation. The case summary analysis framework derived from this study can contribute to establishing situational crime prevention strategies because it is easy to identify typical patterns of specific crime methods. Furthermore, the results of this study can be used as a useful reference for research on generating crime situation prediction data based on RNN models in future follow-up studies.

• Biomedical Science Letters
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• v.13 no.4
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• pp.369-374
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• 2007

A fingerprint is an impression of the friction ridges of all or any part of the finger. A friction ridge is a raised portion of the epidermis on the palmar (palm and fingers) or plantar (sole and toes) skin, consisting of one or more connected ridge units of friction ridge skin. There are two fundamental principles underlying the use of fingerprints as a means of identifying individuals - immutability and uniqueness. Friction ridges develop on the fetus in their definitive form before birth. Ridges are persistent throughout life except for permanent scarring. Ridge patterns and the details in small areas of friction ridges are unique and never repeated. Friction ridge patterns vary within limits, which allow for classification. We developed the high temperature-moisturizing method to obtained quality postmortem impressions from decomposing friction ridge skin. This technique is a simple procedure that uses boiling water to recondition the skin. This reconditioning process enhances detail present on the fingers and exposes ridge detail not visible to the naked eye. Therefore, we can recover the quality fingerprints, even from the worst decomposed bodies.

• 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.

• Journal of the Korean Geographical Society
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• v.42 no.2 s.119
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• pp.243-257
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• 2007

This paper aims to analyze fear of crime which is considered socio-psychologically important in our daily lives from a geographical point of view. Especially, the spatial patterns of the fear of crime which were analyzed in the area of Youngtong in Suwon city. First, this paper takes a look at the correlation between the incidence of crime and the fear of crime. Most people feel fear in actual crime scenes, but they do not always coincide with place where people feel the high level of fear. Fear of crime is closely connected with physical environments as well as the incidence of crime. The level of fear is high in places where the light is dark, unfrequented paths, especially in parks and around mountains. Several factors which have effects on fear of crime operate differently upon place. Second, a survey which measures the fear of crime was quantitatively analyzed. Factor analysis was employed to find out whether questions are appropriate for measuring the fear of crime as well as to reduce the amount of data so that more exact result can be derived from the data. Through the factor analysis, seven factors were extracted and it is found that a factor of incivility accounts for 24.032% of variance. Other factors which affect fear of crime are community cohesion, warning, incidence of crime, victimization, morality and authority.

• Korean Security Journal
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• no.9
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• pp.261-288
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• 2005

This paper is concerned on the reality and the effected factors to the help for the victims of crime in the police. In our society the related enacted law and polices for the victim of crime have been practiced, but it was not easy to be helped or supported in some ways. On the contrary the victims have been used as tool of investigation or just the sources of witness on the crime. These days the issue of the victims of crime is one of the most concerned matters to the public, and it turns to on of core issues in the law enforcement community. According to the filed survey for the study, the female and higher level or longer careers than the male and lower level or shorter careers in the police are more positive on the help for the victims of crime. But if the members in the law enforcement community would be trained up with the organized program to fulfill their duties, they could be in positive on the help for the victimes of crime.

• 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.

• Journal of the Korea Society of Computer and Information
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• v.10 no.3 s.35
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• pp.287-295
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• 2005

A Study on the Countermeasures against International Computer Crime focusing on the Police Investigation Procedure. These days, much more intelligent, varied and advanced techniques for computer crimes have been used than for development of technology. In particular, it has been reported that the damages are enormous. Damages of some computer crimes can not be accurately reported. This study is to speculate specific types of computer crimes and obtain its prevention and countermeasures centering on the Police Investigation Procedure. In particular, it is to speculate international cooperation under the condition that global damages occur frequently due to preparation of advanced network environment.