• Journal of Digital Convergence
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• v.17 no.2
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• pp.9-18
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• 2019

This study investigates the factors affecting the educational satisfaction and the transfer of learning of cyber crime prevention education students in order to confirm the effectiveness of the current education. Based on the CIPP model, we confirmed whether the level of social demand and the level of knowledge in the context evaluation, recency of subjects in the input evaluation and interaction in the process evaluation affect the educational satisfaction and the transfer of learning of the students by conducting the survey for the students. As a result of analysis, it was proved that the level of knowledge, recency of subjects and interaction had a significant relationship with the educational satisfaction and recency of subjects, interaction and educational satisfaction significantly affect transfer of learning. Based on the findings, this study provides a few constructive suggestions to improve the effectiveness of the cyber crime prevention education program.

• Quality Improvement in Health Care
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• v.27 no.1
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• pp.58-69
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• 2021

Purpose:In this study, we reviewed existing victim support programs implemented in Korea to aid in the development of psychosocial support programs for patients and guardians who have experienced patient safety incidents. Methods: We reviewed similar programs: a support program for suicide survivors operated by the Korea Psychological Autopsy Center (Korea Foundation for Suicide Prevention), a family harmony program for workers in industrial accidents operated by the National Center for Forest Therapy, and the support services for crime victims provided by the Korean Crime Victims Support Association. We reviewed the contents of each website and conducted interviews with key personnel from each institution. Results: The support program for families who have experienced suicide was developed based on the suicide prevention project at the Central Psychological Autopsy Center. The family harmony program for workers who suffered industrial accidents is operated by the National Center for Forest Therapy at the behest of the Korean Workers' Compensation and Welfare Service. The Korean Crime Victims Support Association was established by the Ministry of Justice in accordance with the Crime Victim Protection Act and provides support to victims of crime. Each program was designed and implemented considering the objectives and goals, defining their recruitment plans as well as the selection criteria for their participants, and creating quality content that adequately addressed the struggles of their participants. Conclusion: The summarization of the various types of victim support programs in this study can be helpful in the future development of psychosocial support programs for victims of patient safety incidents.

• International Journal of Computer Science & Network Security
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• v.22 no.8
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• pp.299-303
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• 2022

The article examines the stage of verification of a crime report from the standpoint of the need for its legislative regulation. Moreover, it investigates the international experience in this field. The existing procedural models are described in detail on the example of the neighboring and faraway countries. An analysis of the provisions of the current criminal procedure law of Russia and foreign experience allowed the authors to identify existing problems in the implementation of departmental control and prosecutorial supervision at the stage of verifying a crime report. The aim of the study is to develop theoretical provisions and recommendations regarding the implementation of departmental procedural control and prosecutorial supervision over the activities of the investigator during the verification of reports of crimes, based on the study of experience, both in Russia and in a number of countries of the near and far abroad, which could find their reflection in law enforcement practice, as well as aimed at improving the current criminal procedure legislation. The authors substantiated the theory that a detailed examination of the foreign procedural foundations of checking a crime report will allow us to form the most suitable model for checking a crime report for our state, taking into account all possible features and successfully implement it into the current criminal procedural law of the Russian Federation.

• Journal of the Korea Convergence Society
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• v.13 no.2
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• pp.13-20
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• 2022

This study is to develop a named entity recognition model specialized in criminal investigation domains using deep learning techniques. Through this study, we propose a system that can contribute to analysis of crime for prevention and investigation using data analysis techniques in the future by automatically extracting and categorizing crime-related information from text-based data such as criminal judgments and investigation documents. For this study, the criminal investigation domain text was collected and the required entity name was newly defined from the perspective of criminal analysis. In addition, the proposed model applying KoELECTRA, a pre-trained language model that has recently shown high performance in natural language processing, shows performance of micro average(referred to as micro avg) F1-score 98% and macro average(referred to as macro avg) F1-score 95% in 9 main categories of crime domain NER experiment data, and micro avg F1-score 98% and macro avg F1-score 62% in 56 sub categories. The proposed model is analyzed from the perspective of future improvement and utilization.

• The Journal of the Korea Contents Association
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• v.21 no.11
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• pp.20-29
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• 2021

This study aims to explore the issue of drones and crime in newspaper articles. BIG KINDS, an online news archive of the Korea Press Foundation, collected 1,213 newspaper articles that met the terms of "drone" and "crime" in 11 central and 28 regional comprehensive newspapers between January 1, 1990 and May 1, 2021. Among them, we perform keyword frequency, centrality analysis, network structure construction, CONCOR analysis, and density matrix analysis on 117 key keywords. According to the analysis, the main issues were classified into eight, and the report analysis on drones and crimes in newspaper articles showed that the government's policy-making and social problems on protecting people's privacy, preventing illegal filming, securing navigation safety, social security and resolution. This study attempts to expand the field of humanities and social studies related to drones and crime, and specifically suggests the current status and counterplan against drone-related crimes as policy implications and media implications.

• The Journal of the Korea institute of electronic communication sciences
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• v.17 no.6
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• pp.1157-1166
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• 2022

With the advent of the non-face-to-face era, a new type of digital sexual crime with avatars is emerging on the Metaverse virtual reality platform. Due to the lack of clearly established in legal and regulatory systems, it is challenging to punish offenders and acquire digital proof for sexual crimes using these avatars. This research aims to suggest a service and technological solution is development platform that may assist crime prevention and the collection of digital evidence, with a particular emphasis on digital sex crimes that occur in the metaverse, a virtual reality realm. This study explores the reasons behind the difficulty of legal application in the metaverse and then determines the types of digital sex crimes that may occur in the metaverse. In addition, it is suggested what service components the metaverse should contain from the stage of construction and design, can be utilized what element of metaverse in order to prevent illegal activity of avatars.

• Journal of Industrial Convergence
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• v.21 no.6
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• pp.13-21
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• 2023

The purpose of this study is to investigate the relationship between the amount of media coverage related to drug crimes and the actual number of drug-related arrests. It aims to determine the implications of this relationship for the formulation of police policies in response to drug crimes. To achieve this, we collected and analyzed 50,355 domestic online media coverage data from 2001 to 2022 and drug crime arrest data compiled by the National Police Agency. The analysis confirmed a significant causal relationship between the amount of online media coverage of drug crimes and the actual number of drug crime arrests. This relationship was found to be influenced by the existence of dominant issues and the relevance of famous incidents. It was determined that media coverage was also influenced by public interest beyond drug crime arrest numbers. Based on these research findings, the police have proposed the need to monitor the amount of crime-related media coverage and enhance security capabilities for crimes that receive public attention in order to gain the trust of the citizens.

• Journal of the Korea Society of Computer and Information
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• v.14 no.11
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• pp.135-144
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• 2009

In this paper, a methodology for the risk probability map generation of the crime prevention to be subject to the urban area in the group residential area is presented. The interpretation key is set up to the distinctive feature distinguishing with the unaided eye based on the object composing with the urban area information such as the topology, the facility, and the characteristic information of the corresponding area by analyzing the crime prevention case occurred by gone. This interpretation key is generated, and this information is applied to another area equally, and so, the risk probability map for the crime prevention and the disaster prevention is generated. At this time, the object interpretation key for the urban area information is divided into the various size cell by the crime prevention case. and the risk index according with this cell is set up. Also, the generated various risk probability map is unified, and the integration risk probability map is generated.

• Journal of the Society of Disaster Information
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• v.19 no.4
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• pp.908-915
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• 2023

Purpose: The purpose of this study is to examine the types of fraudulent crimes among various crimes taking place during NFT transactions, and to approach institutional problems caused by crime types analysis and crackdown methods and legal limitations. Method: IIn order to classify the types of fraudulent crimes that appear in NFT transactions, the crime types were analyzed through the results of previous studies and cases of current incidents. Result: Most of the crimes that are taking place through NFTs are various types of fraudulent crimes such as rug pools, thefts, personal information theft fraud, and pig murder. Therefore, these types were classified and various damage cases were also analyzed. It is a matter of copyright. Conclusion: Currently, the financial problems caused by the occurrence of fraudulent crimes in NFTs worldwide are the most worrisome, and the scale will be even greater as the market grows in the future. Therefore, in Korea, various institutional supplements and policies should be prepared through analysis of crime types that can affect crime prevention and investigation and arrest activities.

• Journal of the Korean Association of Geographic Information Studies
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• v.27 no.2
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• pp.19-33
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• 2024

CCTV for crime prevention is expanding; however, due to the absence of guidelines for determining installation locations, CCTV is being installed in locations unrelated to areas with frequent crime occurrences. In this study, we developed a CCTV Priority Installation Index and applied it in a case study area. The index consists of crime vulnerability and surveillance vulnerability indexes, calculated using machine learning algorithms to predict crime incident counts per grid and the proportion of unmonitored area per grid. We tested the index in a pilot area and found that utilizing the Viewshed function in CCTV visibility analysis resolved the problem of overestimating surveillance area. Furthermore, applying the index to determine CCTV installation locations effectively improved surveillance coverage. Therefore, the CCTV Priority Installation Index can be utilized as an effective decision-making tool for establishing smart and safe cities.