• Proceedings of the Korean Society of Computer Information Conference
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• 2014.01a
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• pp.173-176
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• 2014

본 연구는 청소년 범죄로 인해 교정시설(소년원)에 수용되어있는 청소년을 대상으로 비행 또는 범죄의 원인을 질적인 차원에서 분석함으로써 청소년비행의 예방이 되는 방안을 찾고자 하였다. 이를 위해 본 연구에서는 '재사회화 과정'이라는 의미를 도출하고 깊이 있는 이해를 도모하기위해 질적연구 방법인 현상학적 연구방법에 의해 소년원에 수용된 청소년의 재사회화 과정을 분석하였다. 연구결과 의미 있는 진술 34개를 도출하였고 14개의 중심의미를 조직하였다. 14개의 중심의미는 소년원 생활, 재적응하며 살아가기, 내 외부지원, 깨닫고 달라지기 라는 4개의 주제로 범주화 하였다.

• Journal of forensic and investigative science
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• v.1 no.2
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• pp.5-19
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• 2006

Data mining is an information extraction activity to discover hidden facts contained in databases. Using a combination of machine learning, statistical analysis, modeling techniques and database technology, data mining finds patterns and subtle relationships in data and infers rules that allow the prediction of future results. Typical applications include market segmentation, customer profiling, fraud detection, evaluation of retail promotions, and credit risk analysis. Law enforcement agencies deal with mass data to investigate the crime and its amount is increasing due to the development of processing the data by using computer. Now new challenge to discover knowledge in that data is confronted to us. It can be applied in criminal investigation to find offenders by analysis of complex and relational data structures and free texts using their criminal records or statement texts. This study was aimed to evaluate possibile application of data mining and its limitation in practical criminal investigation. Clustering of the criminal cases will be possible in habitual crimes such as fraud and burglary when using data mining to identify the crime pattern. Neural network modelling, one of tools in data mining, can be applied to differentiating suspect's photograph or handwriting with that of convict or criminal profiling. A case study of in practical insurance fraud showed that data mining was useful in organized crimes such as gang, terrorism and money laundering. But the products of data mining in criminal investigation should be cautious for evaluating because data mining just offer a clue instead of conclusion. The legal regulation is needed to control the abuse of law enforcement agencies and to protect personal privacy or human rights.

• Korean Journal of Social Welfare
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• v.66 no.2
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• pp.31-49
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• 2014

The purpose of this study is to analyze precedents related with child abuse for protection of the rights of the child. There should be the law related with 'punishment for child abuse,' which is the grounds of punishment, to make a precedent in the law punishing for 'child abuse,' but there is the concept only for 'child abuse' in the Child Welfare Law, the fundamental law; therefore, for a direct judgment for punishment, only precedents of 'child abuse' related with loss of parental rights and judgements for criminal cases, civil cases and laws covering special cases have been made. For that reason, 'the special law related with punishment for child abuse cases' is desperately required (On last December 23, 2013, the special law related with punishment for child abuse cases passed the National Assembly). Hence, precedent analysis had performed by grouping precedent from 2000 to 2013 which were not judged as child abuse in trial but can be regarded as child abuse. When analyzing each precedent according to the contents of analysis and judgment by fact relevance in this study, problems which the current legislative system has were deducted through an implication of each case by diagnosing using diagraming after classifying lower instance terminated cases, which precedents of the Supreme Court and judgments sent to the Supreme Court were excluded, while excluding cases settled in the civil level and classifying analysis of civil case precedents which did not become a criminal case and completed as a civil case, analysis of criminal case precedents, classification of precedents of loss of the parental rights (regarding child abuse) and precedents of any other special laws. And compensatory tasks for special laws regarding punishment of child abuse were presented while suggesting compensatory tasks for the legislation regarding deducted problems.

• Proceedings of the Korean Information Science Society Conference
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• 2007.10d
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• pp.71-76
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• 2007

정보 통신기술의 발전으로 단말기와 네트워크에 독립적인 부가서비스를 이용할 수 있는 개방형 가입자인증 카드인 USIM(Universal Subscriber Identification Module) 카드가 이용되고 있다. 모바일 정보기기의 성능 향상으로 다양한 기능이 추가되고 USIM에 저장된 개인정보의 중요성이 부각되어 범죄 도구로 이용될 가능성이 높아 졌으며 법정 증거자료로서의 중요성도 증가되었다. 모바일 포렌식은 기존의 데이터 저장장치와는 다른 파일시스템을 가지고 있기 때문에 거기에 맞는 전용 포렌식 툴들이 필요하며, USIM과 관련된 범죄가 일어날 때, 자료의 복구와 빠른 검사를 통해 법적 증거화 시킬 수 있는 USIM 포렌식 틀을 요구한다. 본 논문에서는 USIM의 기본적인 구조와 파일시스템을 분석하고 USIM 포렌식 관점에서 증거화 시킬 수 있는 다양한 유형과 절차들을 알아보고, 현재 사용 중인 USIM 포렌식 툴들에 대해 비교 분석한다.

• Journal of the Society of Disaster Information
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• v.18 no.1
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• pp.218-227
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• 2022

Purpose: In the case of cavity discovered by ground penetrating radar exploration, it is necessary to accurately predict the filling amount in the cavity in advance, fill the cavity sufficiently and exert strength to ensure stability and prevent ground subsidence. Method: The cavity waveform analysis method by GPR exploration and the method using the cavity shape imaging equipment were performed to measure the cavity shape with irregular size and shape of the actual cavity, and the amount of cavity filling of the injection material was calculated during rapid restoration. Result: The expected filling amount was presented by analyzing the correlation between the cavity size and the filling amount of injection material according to the cavity scale and soil depth through the method by GPR exploration and the cavity scale calculation using the cavity shaping equipment. Conclusion: The cavity scale measured by the cavity imaging equipment was found to be in the range of 20% to 40% of the cavity scale by GPR exploration. In addition, the filling amount of injection material compared to the cavity scale predicted by GPR exploration was in the range of about 60% to 140%, and the filling amount of the injection material compared to the cavity size by the cavity shaping equipment was confirmed to be about 260% to 320 Purpose: The purpose of this study is to examine the types of crimes taking place in the metaverse, and to establish a crime prevention strategy and find a legal deterrent against it. Method: In order to classify crime types in the metaverse, crime types were analyzed based on the results of previous studies and current incidents. Result: Most of the crimes taking place in the metaverse are done in games such as Roblox or Zeppetto. Most of the game users were teenagers. Looking at the types, there are many teens for sexual crimes, violent crimes, and defamation, but professional criminals are often included in copyright infringement, money laundering using virtual currency, and fraud. Conclusion: Since the types of crimes in the metaverse are diverse, various institutional supplementary mechanisms such as establishment of police crime prevention strategies, legal regulations, and law revisions will have to be prepared.

• Korean Journal of Forensic Psychology
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• v.11 no.2
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• pp.191-210
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• 2020

Developed by Paulhus and Carey(2011), the Free will and Determinism Plus Scale (FAD-Plus) is a widely-used tool for measuring the individuals' lay beliefs in free will and three closely related constructs: scientific determinism, fatalistic determinism, and unpredictability. Since no attempt has been made to validate Korean version of FAD-Plus, it is necessary to assess the psychometric properties as well as reliability analysis of Korean version of FAD-Plus. Total 202 people were surveyed and the subjective well-being and personality traits were measured to see how free will and related constructs relate to other psychological constructs. The study found that six of the total 27 items were deleted, which proved to be a reliable and validate questionnaire. The theoretical implications of the results and future directions for research are discussed.

• Korean Journal of Forensic Psychology
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• v.13 no.1
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• pp.75-97
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• 2022

Profiling is recognized as a representative application area of domestic criminal psychology, and the National Police Agency profiler is firmly established as a profession. However, compared to the social awareness, the recognition and utilization within the police is not high. In this study, we tried to identify factors affecting the intention to use profiling by identifying the perception of investigators who request and use profiling from a profiler when a violent incident occurs. To this end, the relationship between the perception of the importance of factors considered by investigators in the criminal investigation process and the attitude toward profiling on the intention to use profiling was verified through the path model. As a result of a survey of 340 police investigators, the investigator's perception of the importance of investigation elements was divided into two factors: the importance of normative investigative elements (evidence collection and legal judgment, etc.) and factual investigative elements (criminal analysis, criminal information system analysis, etc.). Among them, the importance of factual investigative elements were found to have a positive effect on the intention to use it by mediating the attitude toward profiling. On the other hand, in the case of the importance of normative investigative elements, it was found to have a negative effect on the attitude toward profiling. These results suggest that the perception that investigators have about investigation, which is their main work area, plays a role in determining whether to request profiling as well as attitude towards profiling. Based on the research results, strategies necessary to activate the use of profiling were discussed.

• Annual Conference of KIPS
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• 2011.11a
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• pp.765-767
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• 2011

IT 와 비즈니스가 융합화 되고 정보가 디지털화 됨에 따라 그에 대한 저장매체도 점점 더 다양해지고 있다. 그 중 이동성이 편리하고 휴대하기 간편한 스마트폰을 활용하여 개인 정보를 주고 받고 이를 이용한 비즈니스가 현재 활발히 진행되고 있다. 이러한 소셜 네트워크 서비스 이용이 급격히 증가함에 따라 개인 정보 보안에 대한 중요성은 점점 더 강조 되고 있는 실정이다. 본 연구에서 제안하는 디지털 포렌식 분석 방법을 이용하면 스마트폰에서 지원하는 서비스 형태에 따라 텍스트, 이미지, 동영상 등의 개인 정보를 수집 및 분석이 가능하다. 또한 디지털 포렌식의 관점에 따라 스마트폰 에서 사용되고 있는 애플리케이션의 로그 정보를 수집 및 분석함으로써 스마트폰의 저장 장치에 남겨진 기록들을 훼손 없이 그대로 보존시키고 디지털 증거 자료로 활용이 가능해 사이버 범죄에 대한 신속한 해결이 가능하다.

• The Journal of the Korea Contents Association
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• v.21 no.10
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• pp.702-711
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• 2021

In order to examine the type of PAI profile for criminally charged juvenile offenders, the study sought to find out personality types and behavioral characteristics of 251 juvenile offenders and 173 ordinary adolescents from 2018-2020. Looking at the overall profiles of juvenile offenders and ordinary adolescents, we found differences in Infrequency(INF), Mania(MAN), Antisocial Features(ANT), Alcohol problems(ALC), Drug problems(DRG), Aggression (AGG), and Dominance(DOM) and Warmth(WRM). Based on these results, we perform clustering as factors Antisocial features(ANT), Aggression(AGG), and Dominance (DOM) with an average difference of more than five points. It was classified as Cluster 1 with a high percentage of adolescents and Cluster 2 with a high percentage of juvenile offenders, and Cluster 1 was named as a defense group because it showed a similar model to the profile of ordinary adolescents. The profile type of cluster 2 was named externalization, which can be represented as an externalization group. The results were similar to previous studies, and the profile type of juvenile offenders has higher overall clinical scale than that of ordinary adolescents, indicating behavioral problems. Continued research on juvenile offenders could lead to understanding of youth as well as juvenile offenders.

• Convergence Security Journal
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• v.23 no.5
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• pp.45-55
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• 2023

With the widespread use of digital devices, anonymous communication technologies such as the dark web and deep web are becoming increasingly popular for criminal activity. Because these technologies leave little local data on the device, they are difficult to track using conventional crime investigation techniques. The United States and the United Kingdom have enacted laws and developed systems to address this issue, but South Korea has not yet taken any significant steps. This paper proposes a new blockchain-based crime investigation method that uses physical memory data analysis to track the behavior of anonymous network users. The proposed method minimizes infringement of basic rights by only collecting physical memory data from the device of the suspected user and storing the tracking information on a blockchain, which is tamper-proof and transparent. The paper evaluates the effectiveness of the proposed method using a simulation environment and finds that it can track the behavior of dark website users with a residual rate of 77.2%.