• Journal of Korea Society of Digital Industry and Information Management
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• v.13 no.4
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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.

• The Journal of Information Systems
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• v.29 no.4
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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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• v.11 no.2
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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.

• The Journal of Information Systems
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• v.26 no.3
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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.

• Journal of the Korean Society for information Management
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• v.22 no.4 s.58
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• pp.235-254
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• 2005

The purpose of this study is to discuss the direction of studies of information seeking behavior(ISB) by analyzing previous studies provided model of ISB. Studies were divided into 3 types in terms of factors, processes, or types/patterns of ISB and sub-analyzed by 9 aspects such as research method/ theoretical framework, context of ISB and vice versa. Korean research strategies for overcoming the limitation of ISB studies are to do holistic research approach capturing complexity and multidimention of ISB as well as to extend research objects. Also, it needs to construct substantive theories based upon korean phenomenon of ISB.

• Journal of the Korean Society for Library and Information Science
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• v.42 no.4
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• pp.417-439
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• 2008

This study interpreted film-creators' information behavior by reconstructing information behavior in the process of film-planning using human information behavior. Film creators exchange, collect, and analyze information through channels in the information environment so called "the small world." After these processes, they strategically express this information by creating a film. This study concludes that the purpose of film-creating activity and that of everyday life information seeking are intertwined and that co-communication is the most important information channel and information source.

• Journal of the Korean Data and Information Science Society
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• v.22 no.6
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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.

• Journal of the Korean Society for Library and Information Science
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• v.44 no.1
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• pp.5-28
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• 2010

This study analyzed the characteristics of library service users' information seeking behavior based on the grounded theory methodology. After interviewing twelve undergraduate students, the researcher coded the data based on the grounded theory methodology. As a result of the entire coding processes, this study constructed the library service users' information seeking behavior model. According to the model, the following ten factors are important when explaining library service users' information seeking behavior: the information users' environment, other people, users' experiences, recognition of information sources, information provided, memory, a need-creating environment, information gathering, information use, and satisfaction and/or dissatisfaction.

• Journal of the Korean Society of Clothing and Textiles
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• v.44 no.5
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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.

• Journal of the East Asian Society of Dietary Life
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• v.24 no.4
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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.