• Journal of Digital Convergence
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• v.17 no.11
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• pp.233-240
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• 2019

In order to predict and respond to cyber attacks, a number of security companies quickly identify the methods, types and characteristics of attack techniques and are publishing Security Intelligence Reports(SIRs) on them. However, the SIRs distributed by each company are huge and unstructured. In this paper, we propose a framework that uses five analytic techniques to formulate a report and extract key information in order to reduce the time required to extract information on large unstructured SIRs efficiently. Since the SIRs data do not have the correct answer label, we propose four analysis techniques, Keyword Extraction, Topic Modeling, Summarization, and Document Similarity, through Unsupervised Learning. Finally, has built the data to extract threat information from SIRs, analysis applies to the Named Entity Recognition (NER) technology to recognize the words belonging to the IP, Domain/URL, Hash, Malware and determine if the word belongs to which type We propose a framework that applies a total of five analysis techniques, including technology.

• Journal of Korean Society on Water Environment
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• v.36 no.6
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• pp.621-635
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• 2020

Water quality models are scientific tools that simulate and interpret the relationship between physical, chemical and biological reactions to external pollutant loads in water systems. They are actively used as a key technology in environmental water management. With recent advances in computational power, water quality modeling technology has evolved into a coupled three-dimensional modeling of hydrodynamics, water quality, and ecological inputs. However, there is uncertainty in the simulated results due to the increasing model complexity, knowledge gaps in simulating complex aquatic ecosystem, and the distrust of stakeholders due to nontransparent modeling processes. These issues have become difficult obstacles for the practical use of water quality models in the water management decision process. The objectives of this paper were to review the theoretical background, needs, and development status of water quality modeling technology. Additionally, we present the potential future directions of water quality modeling technology as a scientific tool for national environmental water management. The main development directions can be summarized as follows: quantification of parameter sensitivities and model uncertainty, acquisition and use of high frequency and high resolution data based on IoT sensor technology, conjunctive use of mechanistic models and data-driven models, and securing transparency in the water quality modeling process. These advances in the field of water quality modeling warrant joint research with modeling experts, statisticians, and ecologists, combined with active communication between policy makers and stakeholders.

• Journal of Korea Society of Industrial Information Systems
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• v.26 no.3
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• pp.23-39
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• 2021

Investment of organization in information security is increasing, but information security threats within the organization are not decreasing. The purpose of this study is to suggest a direction to increase the information security compliance intention of employees. In detail, the study presents the positive effects of security motivation and organization trust on the information security compliance intention, and presents the moderating effect of work promotion focus. Research model and hypothesis verification are confirmed through structural equation modeling and the study conducted a questionnaire technique to the employees of the organization applying the information security policy for quantitative verification. As a result, information security punishment and value congruence had a positive affect on the compliance intention by mediating organization trust. In addition, work promotion focus had a moderating effect on the positive relationship between the precedent factors on the compliance intention. The research has academic and practical implications from the viewpoint of presenting the factors of the organization's efforts to improve the level of information security compliance by insiders.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.22 no.2
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• pp.213-224
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• 2012

The integrated core network architecture and various mobile subscriber behavior can result in a significant increase of signaling load inside the evolved packet core network proposed by 3GPP in Release 8. Consequently, an authentication signaling analysis can provide insights into reducing the authentication signaling loads and latency, satisfying the quality-of-experience. In this paper, we evaluate the signaling loads in the EPS architecture via analytical modeling based on the renewal process theory. The renewal process theory works well, irrespective of a specific random process (i.e. Poisson). This paper considers various subscribers patterns in terms of call arrival rate, mobility, subscriber's preference and operational policy. Numerical results are illustrated to show the interactions between the parameters and the performance metrics. The sensitivity of vertical handover performance and the effects of heavy-tail process are also discussed.

• Journal of Digital Convergence
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• v.19 no.7
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• pp.79-85
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• 2021

After COVID-19, the number of individuals participating in delivery platforms has increased. They are using the participation of the delivery platform as a means of creating a new source of income as well as a means of sports and hobbies. This phenomenon is related to a social phenomenon called 'N-jober'. However, there are still few studies examining this phenomenon. Therefore, this study intends to examine the phenomenon of individual participation in delivery platforms and their issues. Text mining was performed on news data from January 2019, when COVID-19 started. As a result, social issues related to the increase in individual participation in delivery platforms were derived into 5 topics(Introduction to the Phenomenon, Characteristics of Participants, Participant's Income and Fees, Characteristics as a Job, Concern about Potential Risks). This study has significance in that it expanded the perspective of academic discussion on delivery platform business to individual participants.

• The Journal of the Korea Contents Association
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• v.21 no.4
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• pp.153-165
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• 2021

The purpose of this study is to find precedent factors that positively and negatively affect the information security compliance intention. In detail, the study finds precedent factors to reduce anxiety that negatively affects compliance intentions, and confirms that feedback moderates the negative relationship between anxiety and compliance intention. The questionnaire was targeted at office workers working in organizations with information security policies, and research hypothesis verification was conducted through structural equation modeling to analyze main effects and moderation effects. As a result of the study, anxiety had a negative effect on the compliance intention, and the organizational culture that was raised through management support reduced anxiety of employees. In addition, feedback mitigated the negative impact relationship between anxiety and compliance intention. The implications of this study were to suggest a direction to mitigate the anxiety of the employees of the organization through the introduction and operation of information security technology.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.42 no.1
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• pp.107-116
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• 2022

Recently, research has been actively conducted on the technology of inspection facilities through image-based analysis assessment of human-inaccessible facilities. This research was conducted to study the conditions of deep learning-based imaging data on bridges and to develop an evaluation prototype program for bridges. To develop a deep learning-based bridge damage detection prototype, the Semantic Segmentation model, which enables damage detection and quantification among deep learning models, applied Mask-RCNN and constructed learning data 5,140 (including open-data) and labeling suitable for damage types. As a result of performance modeling verification, precision and reproduction rate analysis of concrete cracks, stripping/slapping, rebar exposure and paint stripping showed that the precision was 95.2 %, and the recall was 93.8 %. A 2^nd performance verification was performed on onsite data of crack concrete using damage rate of bridge members.

• Journal of Digital Convergence
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• v.19 no.11
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• pp.585-593
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• 2021

In this study, Author supposed that consumer preferences for domestic cosmetics may be different depending on the level of social support and advice & inducement from people around them, and analyzed whether these variables have mediating effects in the impact relationship between cosmetic-related factors and consumer preferences. For data collection, a questionnaire was conducted on women under 40 years of age living in the metropolitan area and analyzed through AMOS8 structural equation modeling. As a result of the analysis, it was found that advice & inducement had a very significant mediating effect on the consumer preference for domestic cosmetics, but social support did not have a mediating effect. Therefore, in order to increase the consumer preference for domestic cosmetics, it is necessary to find a way to activate the advice & inducement of the people.

• Journal of Digital Convergence
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• v.20 no.5
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• pp.453-461
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• 2022

This study designed a research model to analyze the relationship between organizational commitment and work performance for outsourcing workers. The path relationship was analyzed using the PLS-SEM of the sample collected through the survey. As a result of the study, organizational support perception had a direct effect on the work performance of outsourcing workers, and the company commitment and customer company commitment had a mediating effect. In addition, it was confirmed that the workers showed dual commitment to the company and the customer company, and the organizational commitment to both companies was complementary. It was also suggested that the outsourcing company's organizational support activities are more important for improving the work performance of workers.

• Journal of Digital Convergence
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• v.21 no.2
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• pp.9-16
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• 2023

The purpose of this study is to analyze research trends on ESG (Environmental, Social, and Governance), and to present a direction for companies and investors to use ESG information. To this end, text mining, one of the atypical data mining techniques, was used for analysis. Thesis abstracts from January 2014 to February 2023 were collected from the SCOPUS database, and Economics, Econometrics and Finance were the most common. The United States and China published the most ESG papers, and Korea published the 6th most papers in the world. This study is meaningful in that it analyzed the main research trends of ESG using text mining techniques such as LDA and topic modeling. It was confirmed that ESG is being conducted in various fields, not in a specific field, and it is differentiated from previous studies in that it analyzed various influencing factors and ripple effects of ESG.