• Journal of the Korea Institute of Information Security & Cryptology
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• v.18 no.2
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• pp.139-150
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• 2008

Recently, financial institutes and industrial companies are adopted to security token such as OTP, smart card, and USB authentication token and so on for secure system management and user authentication. However, some research institutes have been introduced security weaknesses and problems in security tokens. Therefore, in this paper, we analyses of security functions and security requirements in security token performed by analyses of standardization documents, trends, security problems, attack methods for security tokens. Finally, we propose a CC v.3.1 based security token protection profile.

• Journal of IKEEE
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• v.25 no.4
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• pp.598-606
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• 2021

In this paper, we presents a new service binding and resource management model for context based services in mobile edge computing (MEC) networks. The proposed control is composed of two layers: MEC service bindng control layer (MCL) and user context control layer (UCL). The MCL manages service binding construction, resource allocation, and service policy construction from a system point of view; and the UCL manages real-time service adaptation using meta-objects. Through simulations, we confirmed that the proposed control offers enhanced throughput and content transfer time when it is compared to the legacy computing and control models. The proposed control model can be employed as a key component for the context based various internet-of-things (IoT) services in MEC environments.

• Journal of Industrial Convergence
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• v.20 no.8
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• pp.61-67
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• 2022

The Internet of Things(IoT) is one of the key technologies in the Fourth Industrial Revolution. The IoT is a system that acquires information from various sensors and provides meaningful information to users. The method of obtaining information from sensor is using WIFI, Bluetooth and Server. is not accessible to external users because of different type of networks or local area communication. For this reason, there is a problem that external user cannot receive notification in regard to sensor information. In this paper, we want to establish a cloud message environment using Google's FCM(Firebase Cloud Messaging) and find out through experiments how users can receive notifications even if they are outside.

• Convergence Security Journal
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• v.23 no.1
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• pp.63-68
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• 2023

In this study, in relation to blockchain protocol and network security, we study the configuration of blockchain and encryption key management methods on smart contracts so that we can have a strong level of response to MITM attacks and DoS/DDoS attacks. It is expected that the use of blockchain technology with enhanced security can be activated through respond to data security threats such as MITM through encryption communication protocols and enhanced authentication, node load balancing and distributed DDoS attack response, secure coding and vulnerability scanning, strengthen smart contract security with secure consensus algorithms, access control and authentication through enhanced user authentication and authorization, strengthen the security of cores and nodes, and monitoring system to update other blockchain protocols and enhance security.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2023.05a
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• pp.81-82
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• 2023

Since the COVID-19 pandemic, the importance of remote work has been emphasized, and new digital technologies are rapidly being developed. One such digital technology is the metaverse, which combines reality and virtual space to create an expanded digital world. The metaverse can provide online collaborative spaces that visualize and transmit information and data in real-time. When applied to construction sites, this technology is expected to enable more efficient and stable project management. However, research on construction metaverses, both domestically and internationally, is still inadequate. In this study, 16 influential factors for promoting the application of metaverses to the construction industry were identified through the initial stages of the system dynamics technique. These performance factors were classified into four categories: systemrelated factors for metaverse site construction, device-related factors, user-related factors, and construction site-related factors. It is expected that this study will promote research on the activation of Con-Metaverse by developing casual loop diagrams(CLD) to identify the relationship between each performance factor and constructing stock & flow diagrams(SFD) for simulations in future studies.

• Asia pacific journal of information systems
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• v.33 no.4
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• pp.1156-1170
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• 2023

Various corporates have launched products and brands to meet the diverse needs of consumers. However, an excess of information and products could be collapsed into a choice paradox far from the intention. As an alternative to these problems, curation-based services have recently been in the limelight and can be adopted into e-commerce sites. As one of the earlier studies on the considerable factors of curation services, this study focuses on the online fashion recommendation system in which design quality, interactivity, and perceived usefulness will affect trust, satisfaction, and continued intention to use. In the result, the design quality factor shows a positive effect on satisfaction, but not on the trust. Also, interactivity doesn't demonstrate a significant positive effect on both the satisfaction and the trust factors far from the previous ones but the perceived usefulness had a positive effect on those. In addition, the personalization does not affect a significant effect on the satisfaction factor but on the trust factor. Subsequently, the trust affects the satisfaction, and the satisfaction on the continued intention to use factor, but trust does not significantly affect the continued intention to use directly.

• Journal of Intelligence and Information Systems
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• v.16 no.3
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• pp.99-120
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• 2010

Due to the wide spread of customers' frequent access of non face-to-face services, there have been many attempts to improve customer satisfaction using huge amounts of data accumulated throughnon face-to-face channels. Usually, a call center is regarded to be one of the most representative non-faced channels. Therefore, it is important that a call center has enough agents to offer high level customer satisfaction. However, managing too many agents would increase the operational costs of a call center by increasing labor costs. Therefore, predicting and calculating the appropriate size of human resources of a call center is one of the most critical success factors of call center management. For this reason, most call centers are currently establishing a department of WFM(Work Force Management) to estimate the appropriate number of agents and to direct much effort to predict the volume of inbound calls. In real world applications, inbound call prediction is usually performed based on the intuition and experience of a domain expert. In other words, a domain expert usually predicts the volume of calls by calculating the average call of some periods and adjusting the average according tohis/her subjective estimation. However, this kind of approach has radical limitations in that the result of prediction might be strongly affected by the expert's personal experience and competence. It is often the case that a domain expert may predict inbound calls quite differently from anotherif the two experts have mutually different opinions on selecting influential variables and priorities among the variables. Moreover, it is almost impossible to logically clarify the process of expert's subjective prediction. Currently, to overcome the limitations of subjective call prediction, most call centers are adopting a WFMS(Workforce Management System) package in which expert's best practices are systemized. With WFMS, a user can predict the volume of calls by calculating the average call of each day of the week, excluding some eventful days. However, WFMS costs too much capital during the early stage of system establishment. Moreover, it is hard to reflect new information ontothe system when some factors affecting the amount of calls have been changed. In this paper, we attempt to devise a new model for predicting inbound calls that is not only based on theoretical background but also easily applicable to real world applications. Our model was mainly developed by the interactive decision tree technique, one of the most popular techniques in data mining. Therefore, we expect that our model can predict inbound calls automatically based on historical data, and it can utilize expert's domain knowledge during the process of tree construction. To analyze the accuracy of our model, we performed intensive experiments on a real case of one of the largest car insurance companies in Korea. In the case study, the prediction accuracy of the devised two models and traditional WFMS are analyzed with respect to the various error rates allowable. The experiments reveal that our data mining-based two models outperform WFMS in terms of predicting the amount of accident calls and fault calls in most experimental situations examined.

• Journal of Digital Convergence
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• v.19 no.7
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• pp.57-70
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• 2021

As COVID-19 spreads, people's interest in smart learning that can do non-face-to-face learning is increasing nowadays. In this study, we aim to empirically analyze how users' thoughts on COVID-19 and the information quality and system quality of smart learning systems affect users' acceptance of smart learning and examine the effect of perceived sensitivity and severity of COVID-19 on the satisfaction and use of smart learning through concerns about the risk of transmission. In addition, we examined the influence of information quality composed of content quality and interaction quality and system quality composed of system accessibility and functionality on the use of smart learning through user satisfaction. To verify the validity of the proposed model, we conducted a survey on 334 users with experience in using smart learning, and performed the analysis using Smart PLS 3.0. According to the analysis results, among information quality and system quality, only functionality has a positive (+) effect on the satisfaction of smart learning, and satisfaction has a positive (+) effect on the usage behavior. However, it is found that accessibility among system quality do not affect satisfaction, and concern about the risk of transmission has a negative effect on satisfaction. This study can provide meaningful guidelines to researchers when researching smart learning to support students' learning in a pandemic situation of a new infectious disease, such as COVID-19. It will also be able to provide useful implications for educational institutions and companies related to smart learning.

• Management & Information Systems Review
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• v.34 no.1
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• pp.1-20
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• 2015

This study analyses the relationship with the feature of the web usability and Social commerce. Therefore, this research tries to investigate the relationship about in which the characteristic of the web-site usability is connected through the confidence about the Social commerce site to the re-purchase. The existing research that the information system and Electronic commerce relates is considered and the usability factor about the Social commerce site tries to be drawn and these try to verify on the relationship with the trust building of the user about the Social commerce site and purchasing intention through the positive research. The result is follows. First, the visual property of the Social commerce site was confirmed to have the descriptive ability noted to the confidence. Second, it was confirmed to have the descriptive ability that information characteristic about the Social commerce site notes to the confidence. Third, it was confirmed to have the descriptive ability that relative characteristic about the Social commerce site notes to the confidence. The importance of the web-site usuability has preferentially to be considered in being put through this research and building the confidence of the social commerce user could be known. When running with the social commerce site design, this is determined because it can become the useful standard.

• Management & Information Systems Review
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• v.30 no.1
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• pp.87-105
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• 2011

Although the rapid spread of mobile device like smart phone has increased, One of the main problems of systems is that they do not meet their quality requirements. Many researchers have tried to improve users' satisfaction and enhance their quality of life. The purpose of the study is to examine the moderating effect of lifestyle on the use of mobile internet service. To achieve our research purpose, we used lifestyle, IS success model and quality of life as the theoretical background. Based on the research model, we conducted survey and empirically analyzed the data. We classified user types according to lifestyle as a moderating variable. The results show that users' lifestyle can classify two group: curiosity-independent group and intelligence-pursuit of advanced fashion type. The impact of information and systems quality factors of mobile internet service on user satisfaction are differentiated from these lifestyle group. This paper ends with strategical implication of the study results.