• Asia pacific journal of information systems
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• 제30권1호
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• pp.53-71
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• 2020

The Internet and all of its possibilities and applications have changed individuals' lifestyles in relation to socializing, working, and how they spend their leisure time. Social networking sites (SNSs), such as Facebook or Instagram, are ideal settings for interacting with others but, unfortunately, they are also ideal settings for motivated offenders to commit cybercrimes. Thus SNS users may be more vulnerable to cybercrime. The purpose of this study is to investigate the occurrence of cybercrime victimization, specifically cyber-harassment, cyber-impersonation, and hacking. Self-report surveys collected from a sample of 147 respondents were examined using the moderated multiple regression analysis and a logistic regression analysis to determine possible relationships between SNS lifestyle exposure activities and cybercrime victimization. The results indicate moderate support for the application of lifestyle-routine activity theory (LRAT) to cybercrime victimization. Possible educational and managerial implications, as well as suggestions for future research, are discussed.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제15권8호
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• pp.3048-3067
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• 2021

This study examines the similarities and differences between the causes of juvenile delinquency in online and offline environments and in personal characteristics. The study utilizes data from the '2014 Survey on Juvenile Victimization in Korea'. The population of this survey is students attending middle and high schools across the country. While this paper is based on the Self-Control theory, opportunity factors based on the Routine Activity theory and the Situational Action theory are also applied. Results show that the causes of offline delinquency are low self-control, routine activity and frequent gaming and SNS use. The causes of online delinquency are high self-control, existence of communication with unknown persons and the spectrum of personal information online. The common element of offline and online delinquency was the presence of delinquent peers. These results show that while online and offline delinquency cannot be explained with the same methodology, at the same time they are not mutually exclusive.

• 한국정보시스템학회지:정보시스템연구
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• 제29권2호
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• pp.221-242
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• 2020

Purpose This study collects data of the recently activated online black market and analyzes it to present a specific method for preparing for a hacking attack. This study aims to make safe from the cyber attacks, including hacking, from the perspective of individuals and businesses by closely analyzing hacking methods and tools in a situation where they are easily shared. Design/methodology/approach To prepare for the hacking attack through the online black market, this study uses the routine activity theory to identify the opportunity factors of the hacking attack. Based on this, text mining and social network techniques are applied to reveal the most dangerous areas of security. It finds out suitable targets in routine activity theory through text mining techniques and motivated offenders through social network analysis. Lastly, the absence of guardians and the parts required by guardians are extracted using both analysis techniques simultaneously. Findings As a result of text mining, there was a large supply of hacking gift cards, and the demand to attack sites such as Amazon and Netflix was very high. In addition, interest in accounts and combos was in high demand and supply. As a result of social network analysis, users who actively share hacking information and tools can be identified. When these two analyzes were synthesized, it was found that specialized managers are required in the areas of proxy, maker and many managers are required for the buyer network, and skilled managers are required for the seller network.

• 대한전기학회:학술대회논문집
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• 대한전기학회 1995년도 하계학술대회 논문집 B
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• pp.962-964
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• 1995

In this paper, an integrated chaos analysis system for EEG (ICASE) is designed for the analysis of brain functions based on the chaos theory. Nonlinear dynamic characteristics of EEG such as 3-D attractor, Poincare section, correlation dimension, Lyapunov exponents and power spectrum are extracted by this system. The results show that chaotic attractors which indicate the presence of deterministic, dynamics of complex nature could be identified from a routine EEG recording for normal and pathological activity. This proves that the chaotic analysis of EEG may be an appropriate tool in the classification of brain activity and thus a possible diagnostic tool.

• 시큐리티연구
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• 제38호
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• pp.137-161
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• 2014

이 연구의 목적은 주거침입피해에 영향을 미치는 요인을 탐색하는데 있다. 이에 주거침입 피해 실태를 구체적으로 살펴보고 인구사회학적 특성 및 일상적 생활양식과 주거침입 피해경험 간의 관계 및 영향력을 살펴본다. 또한 일상활동 생활양식이론에 기초하여 근접성과 노출, 보호능력 요인으로 주거침입 피해를 설명한다. 연구대상은 전국의 4,710가구로, 제8차 전국범죄피해조사(KCVS)자료를 이차데이터로서 활용하였고, 연구목적 달성을 위해 위계적 로지스틱 회귀분석방법을 이용하였다. 연구결과 근접성 및 보호능력 차원에서 피해를 설명할 수 있었으며 이는 범죄와의 근접성이 높을수록, 물리적 보호능력 수준이 높을수록 주거침입 피해 가능성은 감소한다고 볼 수 있었다. 하지만 이차데이터의 특성상 측정변수를 근사변인으로 설명함으로써 이론적 모형을 명확하게 반영하지 못했다는 한계를 갖는다. 향후 연구에서는 주거침입 피해유발요인 명확하게 측정하여 보다 실질적인 침입피해 예방정책이 마련되기를 기대한다.

• 한국정보시스템학회지:정보시스템연구
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• 제30권2호
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• pp.29-56
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• 2021

Purpose Cyber deviance of adolescents has become a serious social problem. With a widespread use of smartphones, incidents of cyber deviance have increased in Korea and both quantitative and qualitative damages such as suicide and depression are increasing. Research has been conducted to understand diverse factors that explain adolescents' delinquency in cyber space. However, most previous studies have focused on a single theory or perspective. Therefore, this study aims to comprehensively analyze motivations of juvenile cyber deviance and to develop a predictive model for delinquent adolescents by integrating four different theories on cyber deviance. Design/methodology/approach By using data from Korean Children & Youth Panel Survey 2010, this study extracts 27 potential factors for cyber deivance based on four background theories including general strain, social learning, social bonding, and routine activity theories. Then this study employs econometric analysis to empirically assess the impact of potential factors and utilizes a machine learning approach to predict the likelihood of cyber deviance by adolescents. Findings This study found that general strain factors as well as social learning factors have positive effects on cyber deviance. Routine activity-related factors such as real-life delinquent behaviors and online activities also positively influence the likelihood of cyber diviance. On the other hand, social bonding factors such as community commitment and attachment to community lessen the likelihood of cyber deviance while social factors related to school activities are found to have positive impacts on cyber deviance. This study also found a predictive model using a deep learning algorithm indicates the highest prediction performance. This study contributes to the prevention of cyber deviance of teenagers in practice by understanding motivations for adolescents' delinquency and predicting potential cyber deviants.

• 한국전자통신학회논문지
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• 제18권6호
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• pp.1197-1206
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• 2023

가상현실로 구현한 공중화장실의 위험도를 산출하기 위하여 공중화장실에 존재하는 공간요소를 평가하고자 하였다. 평가대상과 평가 기준에 이론적 기반을 마련하기 위해 공중화장실의 안전성을 높이기 위한 체크리스트를 제안한 선행연구를 도입하였다. 평가 기준을 설정하기 위해 Paul J. Brantingham과 Patricia L. Brantingham의 이론을 바탕으로 공간과 범죄자의 상호작용에 초점을 맞춰 분석하고 수립하였다. Ronald V. Clarke의 "일상활동 이론"도 도입하여 평가 접근 방식에 통합하였다. 공중화장실의 범죄자, 이용자, 공간적 요소 간의 상관관계를 토대로 범인의 행위, 범죄와의 공간적 관련성, 이용 중 이용자 노출을 분석하였다. 이러한 기준을 이용하여 공중화장실의 공간요소 평가 알고리즘을 개발하고 이를 기반으로 애플리케이션을 개발하여 평가 도구 개발이 가능함을 입증하였다.