• 디지털산업정보학회논문지
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• 제13권4호
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• pp.125-139
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• 2017

In this paper, we developed a framework to detect and predict insider information leakage by collecting and restoring network traffic. For automated behavior analysis, many meta information and behavior information obtained using network traffic collection are used as machine learning features. By these features, we created and learned behavior model, network model and protocol-specific models. In addition, the ensemble model was developed by digitizing and summing the results of various models. We developed a function to present information leakage candidates and view meta information and behavior information from various perspectives using the visual analysis. This supports to rule-based threat detection and machine learning based threat detection. In the future, we plan to make an ensemble model that applies a regression model to the results of the models, and plan to develop a model with deep learning technology.

• 한국정보시스템학회지:정보시스템연구
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• 제29권4호
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• pp.57-76
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• 2020

Purpose Although examining the antecedents of employees' extra-role behavior (i.e. information security participation behavior) in the information security context is significant for researchers and practitioners, most behavioral security studies have focused on employees' in-role behavior (i.e. information security policy compliance). Thus, this research addresses this gap by investigating how organizational information security climate influences information security participation behavior based on social information processing theory and Griffin and Neal's safety model. Design/methodology/approach We developed a research model by applying Griffin and Neal's safety model to the information security context and then tested our research model by conducting an online survey for employees of organizations with information security policies. Structural equation modeling (SEM) with SmartPLS 3.3.2 is used to test the corresponding hypothesis. Findings Our results show that organizational information security climate, information security knowledge, information security motivation are effective in motivating information security participation behavior. Also, we find that organizational information security climate positively influences both information security knowledge and information security motivation. Our findings emphasize the importance of organizational information security climate because it is capable of affecting employees on information security participation behavior. Our study contributes to the literature on information security by exploring the role of organizational information security climate in enhancing employees' information security participation behavior.

• Journal of information and communication convergence engineering
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• 제11권2호
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• pp.95-102
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• 2013

This paper presents a stochastic driver behavior modeling framework which takes into account both individual and general driving characteristics as one aggregate model. Patterns of individual driving styles are modeled using a Dirichlet process mixture model, as a non-parametric Bayesian approach which automatically selects the optimal number of model components to fit sparse observations of each particular driver's behavior. In addition, general or background driving patterns are also captured with a Gaussian mixture model using a reasonably large amount of development data from several drivers. By combining both probability distributions, the aggregate driver-dependent model can better emphasize driving characteristics of each particular driver, while also backing off to exploit general driving behavior in cases of unseen/unmatched parameter spaces from individual training observations. The proposed driver behavior model was employed to anticipate pedal operation behavior during car-following maneuvers involving several drivers on the road. The experimental results showed advantages of the combined model over the model adaptation approach.

• 한국정보시스템학회지:정보시스템연구
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• 제26권3호
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• pp.313-337
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• 2017

Purpose Financial technology, also known as FinTech, is conceptually defined as a new type of financial service which is combined with information technology and other traditional financial services like payments, investments, financing, insurance, asset management and so on. Most of the studies on FinTech services have been conducted from the viewpoint of technical issues or legal and institutional studies, and few studies are conducted from the health belief perspectives and security behavior approaches. In this regard, this study suggest an extended information protection behavior model. Design/Methodology/Approach The Health Belief Model (HBM), the Protection Motivation Theory (PMT), and the Technology Threat Avoidance Theory (TTAT) were employed to identify constructs relevant to information protection behavior of FinTech services. A new extended information protection behavior model in which the influence factors of information protection behavior (i.e., perceived susceptibility, perceived severity, perceived benefits, perceived barriers, perceived self-efficacy, subjective norms) affect perceived threats and perceived responsiveness positively, leading to information protection behavior of FinTech users eventually. This study developed an extended information protection behavior model to explain the protection behavior intention in FinTech users and collected 272 survey responses from the mobile users who had experiences with such mobile payments and FinTech services. Findings The finding of this study suggests that the influence factors of information protection behavior affect perceived threats and perceived responsiveness positively, and information protection behavior of FinTech users as well.

• 정보관리학회지
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• 제22권4호통권58호
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• pp.235-254
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• 2005

본 연구는 정보추구행태 모형을 제시하고 있는 기존 논의들을 대상으로 이들의 연구경향들을 개관하고 분석함으로써 향후 정보추구행태 연구의 방향점을 논의하고자 하는 시도이다. 본 연구에서는 기존논의들 을 정보추구행태의 영향요인 모형, 과정모형 스타일/패턴모형의 3가지 연구유형으로 대별하였으며, 이들 모형들을 방법론/이론적 틀, 정보추구 맥락, 연구대상/주제분야, 모형 특색 등 9가지 측면에서 분석하였다. 기존 연구의 한계를 극복하기 위한 한국적 연구전략은 연구대상의 확대뿐 아니라, 정보추구가 가지는 복잡다양성과 다차원성을 포함하는 총체적인 연구접근이 필요하다. 더불어, 한국적 정보추구 현상을 설명하는 실제에 기반한 이론들을 개발할 필요가 있다.

• 한국문헌정보학회지
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• 제42권4호
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• pp.417-439
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• 2008

본 연구는 영화창작자들을 대상으로 영화기획과정에서의 정보활동을 인간정보행위모형을 재구성하여 영화창작자의 정보활동모형을 해석해 보았다. 영화창작자의 정보활동은 영화의 작은 사회 정보환경 내의 채널을 통하여 정보를 교환하고 수집, 분석하며 이를 공통된 창조물로 내면화하여 전략적인 결과물로 표현한다. 영화창작정보추구 목적과 일상생활정보추구의 목적은 구분할 수 없을 정도로 밀접하게 연결되며, 공동 커뮤니케이션이 가장 중요한 정보채널이면서 동시에 중요한 정보원임이 밝혀졌다.

• Journal of the Korean Data and Information Science Society
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• 제22권6호
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• pp.1199-1215
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• 2011

Relaxing an unrealistic assumption of a representative percolation model, this paper demonstrates that herd behavior leads to a high increase in volatility but not trading volume, in contrast with information flows that give rise to increases in both volatility and trading volume. Although detecting herd behavior has posed a great challenge due to its empirical difficulty, this paper proposes a new methodology for detecting trading days with herding. Furthermore, this paper suggests a herd-behavior-stochastic-volatility model, which accounts for herding in financial markets. Strong evidence in favor of the model specification over the standard stochastic volatility model is based on empirical application with high frequency data in the Korean equity market, strongly supporting the intuition that herd behavior causes excess volatility. In addition, this research indicates that strong persistence in volatility, which is a prevalent feature in financial markets, is likely attributed to herd behavior rather than news.

• 한국문헌정보학회지
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• 제44권1호
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• pp.5-28
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• 2010

본 연구는 도서관 서비스이용자와의 인터뷰자료를 근거이론방법론을 기초로 분석하여 도서관 서비스이용자의 정보추구행태상의 특성을 파악하고자하였으며 이를 토대로 도서관 서비스이용자의 정보추구행태모델을 제시해 보고자 하였다. 연구결과 도출된 모델에 따르면 도서관 서비스이용자의 정보추구행태를 설명하는데 있어서 다음의 열 가지 요소가 중요한 것으로 나타났다: 정보이용자의 환경, 의미 있는 주변인, 정보제공, 정보원의 인지, 개인의 과거경험, 기억, 정보수집, 요구를 발생시키는 사건 혹은 환경의 발생, 정보이용, 만족 혹은 불만족의 경험.

• 한국의류학회지
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• 제44권5호
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• pp.789-809
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• 2020

Growth in online channels has created fierce competition; consequently, retailers have to invest an increasing amount of effort into attracting consumers. In this study, eye-tracking technology examined consumers' visual behavior to gain an understanding of information searching behavior in exploring product information for fashion products. Product attribute information was classified into two image-based elements (model image information and detail image information) and two text-based elements (basic text information, detail text information), after which consumers' visual behavior for each information element was analyzed. Furthermore, whether involvement affects consumers' information search behavior was investigated. The results demonstrated that model image information attracted visual attention the quickest, while detail text information and model image information received the most visual attention. Additionally, high-involvement consumers tended to pay more attention to detailed information while low-involvement consumers tended to pay more attention to image-based and basic information. This study is expected to help broaden the understanding of consumer behavior and provide implications for establishing strategies on how to efficiently organize product information for online fashion stores.

• 동아시아식생활학회지
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• 제24권4호
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• pp.457-464
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• 2014

This study investigated the effects and interrelationship on sensual behavior and wine information sources in selection attributes of wine. Selection attributes of wine were categorized into four variables: sensual behavior, recommend information, label information, and wine information. The study showed that for sensual behavior variable, "taste" was the most influential item as compared to "food harmony", "mood harmony" and "partner's choice". For recommendation information, label information and wine information, "specialist", "grape varieties" and "brand" had the most significant effects. The study performed factor analysis on sensual behavior and wine information sources. The cumulative variance was 74.197%, implying that all four variables incorporated appropriate items. In the reliability analysis, all four variables showed Cronbach's ${\alpha}$ values above 0.6. In the analysis of the causal relations using a structural model, the effects of customers' sensual behavior on wine information sources was further investigated. The model verified that taste, food harmony, mood harmony and partner's choice, which are items of sensual behavior, had significant impacts when choosing wine. Sensual behavior influenced all wine information sources, which customers utilize in decision-making. Among these sources, sensual behavior had the biggest effects on recommendation information, followed by wine information and label information.