• 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.

• KIPS Transactions on Software and Data Engineering
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• v.7 no.9
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• pp.361-366
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• 2018

Previous studies on fear of crime used survey and interview to measure fear of crime. However, though these methods can measure fear of crime in past events, they cannot measure real time fear of crime. In this paper, we use EEG to measure fear of crime in real time. We measure and analyze the EEG of subjects watching the video and confirm the difference between three groups classified according to the degree of fear of crime. As a result, about two times more beta waves are shown when a group of subjects with a high degree of fear of crime watches the images of fear of crime and 1.5 times more beta waves are shown among the other groups. Although watching videos related to the crime increased the beta waves, the police video showed little increase in beta waves because the subjects can sense safety in the video even if it is related to crime.

• 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.

• 한국벤처창업학회:학술대회논문집
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• 2022.11a
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• pp.67-70
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• 2022

최근 코로나19가 발생한 2020년부터 청소년의 문제행동은 지능화, 다양화되고 범죄와 폭력의 비중은 높아지고 있다. 청소년의 절도, 사기, 장물, 횡령 등과 같은 초범의 재산 범죄가 44.8%(2015)에서 45.1%(검찰청, 2020), 언어 및 신체의 학교폭력 피해자가 45.2%(2015)에서 54.1%(교육부, 2021)로 나타나 청소년 문제행동에 대한 심각한 실정을 알 수 있다. 청소년기의 범죄와 폭력은 욕망을 충족하기 위한 수행과 목표 달성의 도구적 행위이며 고위험군의 외현화 문제행동이다(Cornish & Clarke, 2002). 외현화 본 연구의 목적은 청소년의 초기부적응심리도식이 외현화 문제행동에 미치는 영향과 인지적 정서조절 매개효과를 실증적으로 검증하고자 한다. 연구를 위해 경기도 소재 중·고등학교 학생 953명을 대상으로 설문조사를 실시하고, SPSS ver. 25.0과 Hayes(2013)가 개발한 Process Macro를 사용하여 자료를 분석하였다. 분석결과는 다음과 같다, 첫째, 초기부적응심리도식이 높을수록 외현화 문제행동이 높은 것으로 나타났다(F=41.871, p<.001). 둘째, 초기부적응심리도식과 외현화 문제행동의 관계에서 인지적 정서조절의 매개효과가 나타났다(F=111.594, p<.001). 따라서 본 연구는 청소년의 외현화 문제행동을 예방 및 감소, 초기 부적응심리도식의 완화를 위해 인지적 정서조절의 효과를 높일 수 있는 상담 및 교육프로그램에 필요한 기초자료를 제공하는데 의의가 있다.

• The Journal of Bigdata
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• v.4 no.2
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• pp.23-34
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• 2019

Recently, the crime that utilizes the digital platform is continuously increasing. About 140,000 cases occurred in 2015 and about 150,000 cases occurred in 2016. Therefore, it is considered that there is a limit handling those online crimes by old-fashioned investigation techniques. Investigators' manual online search and cognitive investigation methods those are broadly used today are not enough to proactively cope with rapid changing civil crimes. In addition, the characteristics of the content that is posted to unspecified users of social media makes investigations more difficult. This study suggests the site-based collection and the Open API among the content web collection methods considering the characteristics of the online media where the infringement crimes occur. Since illegal content is published and deleted quickly, and new words and alterations are generated quickly and variously, it is difficult to recognize them quickly by dictionary-based morphological analysis registered manually. In order to solve this problem, we propose a tokenizing method in the existing dictionary-based morphological analysis through WPM (Word Piece Model), which is a data preprocessing method for quick recognizing and responding to illegal contents posting online infringement crimes. In the analysis of data, the optimal precision is verified through the Vote-based ensemble method by utilizing a classification learning model based on supervised learning for the investigation of illegal contents. This study utilizes a sorting algorithm model centering on illegal multilevel business cases to proactively recognize crimes invading the public economy, and presents an empirical study to effectively deal with social data collection and content investigation.

• Proceedings of the Korea Information Processing Society Conference
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• 2020.11a
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• pp.390-392
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• 2020

본 논문에서는 딥웹 환경에서 사이버 범죄 활동에 대한 정보를 중심으로 분석한다. 분석된 정보는 사이버 수사기관에 범죄 분석을 위한 보조정보로 활용될 수 있도록 지원하는 것과 청소년들의 사이버 범죄에 대한 위중성 및 범법성을 인지시키기 위한 교육을 목적으로 활용될 수 있도록 연구되었다. 따라서 본 논문에서는 크롤링, 파싱, 시각화 3가지 과정을 기반으로 딥웹 환경에서 활동하고 있는 정보를 키워드를 중심으로 수집하고 분석하는 솔루션 환경을 구현하였다. 분석된 정보는 사이버에서 일어나는 많은 범죄활동 가운데 가장 일어나기 쉬운 범죄 유형과 주의 깊게 수사가 이루어져야 할 범죄들을 정리하며, 수사의 방향성을 캐치 할 수 있도록 지원하는 기능을 포함한다.

• Korean Security Journal
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• no.32
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• pp.33-63
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• 2012

Humans are influenced by economic factors, physical environment factors, social and environmental factors, influenced by the media. In particular, the occurrence of the crime for fear of crime due to the human activities of the area has reduced. Fear of crime inflienced by direct victim of a crime, disorder of the surrounding environment, and indirect victims of crime. Therefore, in order to reduce their fears about crime in the private security through crime prevention and. About the factors affecting their fears about crime in the actual selection of the private security and private security activities in order to solve these problems through crime prevention, through this study will be described. In this study, we randomly select the survey was in August 2011, as detached house in Seoul and Daegu. As a result, the fear of crime fears about crime were influenced directly or indirectly by factors of private security selection.

• Korean Journal of Culture and Social Issue
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• v.11 no.spc
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• pp.117-131
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• 2005

The present research integrated various theoretical perspectives of human unlawful behaviors in order to clarify the psychological mechanisms that underly the changes in compliance with and attitude toward law as time goes. Most well-known theories such as classical theory of crime, biosocial and evoluationary theories, and psychological perspectives including psycho-dynamic theory, personality, intellectual/moral development theories, and decision-making were discussed in their unique points in explaining human unlawful behaviors. Finally, social-learning theory and cognitive-dissonance theory has been suggested to explain the psychological mechanism of the phenomena in which people's attitude toward law and compliance with law become weaken through violation experiences of trivial lawful regulations. Especially, the logic of cognitive-dissonance theory (that people committed violation of trivial laws should experience dissonance with their original belief of compliance with law and negative arousal and try to remove the arousal by change their belief along with their behavior) were theoretically convincing to explain the phenomenon and supported by a series of experimental studies. Several practical implications for future constitutional and political activities were discussed in the basis of the cognitive dissonance theory.

• Proceedings of the Korea Contents Association Conference
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• 2012.05a
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• pp.95-96
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• 2012

우리나라는 인구의 고령화가 급속하게 진전되어 총인구 중 65세 이상의 비율이 향후 급증할 것으로 전망되고 있다. 따라서 경찰활동과 관련하여 고령화에 따른 노령인구에 대한 치안서비스의 준비가 논의되어야 할 것이다. 이에 본 연구는 노령인구를 주 대상으로 하여 경찰의 치안서비스 강화에 대해 연구하고자 한다. 고령화에 따른 예상되는 문제점으로 첫째, 노인빈곤과 관련된 생계형 범죄의 증가이다. 이는 생계형 범죄뿐만 아니라 노인자살의 문제를 야기할 수 있는 요소가 된다. 둘째, 사회활동의 증가에 따른 교통사고의 증가이다. 셋째, 노인의 인지능력 저하를 이용한 사기와 같은 재산범죄 증가이다. 이와 같은 현상에 경찰의 사전적 적극적인 시급한 대응이 필요하다. 변화하는 사회적 환경의 변화 속에서 노령인구를 대상으로 한 전문적인 치안서비스가 전개되어야 한다. 노령인구의 범죄피해를 차단할 수 있으며, 또한 노령인구가 범죄의 가해자로서 변질되지 않도록 대안이 마련되어야 할 것이다.

• The Journal of the Convergence on Culture Technology
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• v.7 no.2
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• pp.157-163
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• 2021

This study attempted to find individual reasons for inducing cybercrime. The survey was conducted targeting investigators and security experts on 11 types of cybercrime. There are 16 internal factors that cause crime and classified according to Maslow's 5 steps. As a result of the survey on a total of 176 items, the credibility of the Cronbach's Alpha coefficient was 0.925. The result of the factor analysis is as follows. Factor analysis results are maslow phase 1 physiological desire is commercial, sykes. Phase 2 safety desires are not punishable and crowd. The three-stage social desire is impulsiveness, indifference, etc. The fourth stage of respect is anonymity and honor. The desire for self-reality in stage 5 has been reduced to indesity, a loss of moderation, morality, and media effects. In conclusion, the physiological desire, the desire for respect for the crime of infringing on the information and communication network, the desire for menstruation, the desire for self-realization for the crime of using information and communication networks, the desire for self-actualization for the crime of illegal content. It was in the order of desire.