• Proceedings of the Korea Information Processing Society Conference
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• 2011.04a
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• pp.1005-1008
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• 2011

최근 다양한 기능을 수행할 수 있는 모바일 단말 개발이 확산됨과 함께 모바일 단말기를 이용해 회사 업무를 처리 할 수 있는 모바일 오피스를 구축하는 기업이 빠르게 증가 하고 있다. 모바일 오피스에 사용되는 단말기에는 회사 업무 처리가 가능한 업무 시스템 및 업무 기능을 포함하는 앱스(Apps)가 설치 되어있으며, 이를 통해 외부에서 네트워크를 통해 업무를 수행하게 된다. 다양한 단말을 통한 내부 시스템의 접속 및 외부에서부터 기업 내부 망으로 접속하는 것을 허용하게 됨에 따라 내부정보유출 시스템의 적용 범위를 모바일 단말 사용자에게 확대할 필요가 생겼다. 효율적인 업무 운영이 가능하면서, 안전하게 수행 가능한 모바일 오피스 운영을 위해 직원의 프라이버시 보호가 가능하면서 내부 정보 유출을 방지할 수 있는 방안에 대해 연구 해 보고자 한다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.05a
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• pp.377-380
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• 2022

An application called an app can be downloaded and used on mobile devices. Among them, Android-based apps have the disadvantage of being implemented on an open source basis and can be exploited by anyone, but unlike iOS, which discloses only a small part of the source code, Android is implemented as an open source, so it can analyze the code. However, since anyone can participate in changing the source code of open source-based Android apps, the number of malicious codes increases and types are bound to vary. Malicious codes that increase exponentially in a short period of time are difficult for humans to detect one by one, so it is efficient to use a technique to detect malicious codes using AI. Most of the existing malicious app detection methods are to extract Features and detect malicious apps. Therefore, three ways to select the optimal feature to be used for learning after feature extraction are proposed. Finally, in the step of modeling with optimal features, ensemble techniques are used in addition to a single model. Ensemble techniques have already shown results beyond the performance of a single model, as has been shown in several studies. Therefore, this paper presents a plan to select the optimal feature and implement a learning model for Android app-based malicious code detection.

• Journal of Service Research and Studies
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• v.9 no.2
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• pp.41-54
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• 2019

The increasing use of mobile applications is a phenomenon that has recently come to be beneficial to people in their private life due to increased income and changes in life style. In particular, analyzing customers' consumer sentiment can be seen as a pursuit form of convenience that enables efficient use of time and effort. In this study, based on previous studies, we examine the causal relation model that influences reuse intention, which is a dependent variable through perceived value as a parameter by measuring the service convenience for cafe mobile application. In order to accomplish purpose of this study, references related to service convenience, perceived value, and reuse intention were reviewed as literature research methods. For the empirical study, the research was carried out through Macro Mill Embrain Co., Ltd. Online research was conducted for one week from October 26 to November 8, 2018. There are 13 items of the collected data were excluded and 324 items suitable for irradiation were used. Study results show that service convenience of cafe mobile application has a positive effect on perceived value and reuse intention. In addition, in the relationship that cafe mobile app's service convenience has a significant (+) influence on reuse intention, perceived value proved to have meaningful results as intermediary roles. Implications of this study are as follows. First of all, this study will be helpful for cafe companies and consumers if utilize the service convenience of cafe mobile application in perceived value and reuse intention in marketing applications. Therefore, theoretically, we propose the development direction of cafe mobile application and present academic data for marketing strategy innovation and competitive advantage in the food service industry that conforms to the fourth industrial revolution era.

• The Journal of the Korea Contents Association
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• v.20 no.2
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• pp.594-606
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• 2020

On the contrary to the steady rise of social problems about depression, only a few take care of mental health themselves due to their negative perception of psychotherapy. In this study, we propose service design and user interface design of mobile applications that introduce an automatic emotional recognition system to prevent leaving depression unattended. First, we have come up with improvements in the usability of existing apps through literature research and case analysis, and draw out Personas from surveys and in-depth interviews of young people. As an essential element of the design of the Depression Improvement Service, we recommend having three components: writing a diary to manage schedule, recognize users' emotional state through avatar management, and tracking down emotional points to improve the cognitive system. Through this proposal, we want to prevent the development of depression and help to resolve the changes in perception of depression and longitude depression on our own. Ultimately, we publicize the necessity of mental health care application design and expect to lower the personal and social costs for psychiatric care.

• Journal of Service Research and Studies
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• v.5 no.1
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• pp.71-78
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• 2015

Created, but the development of mobile devices to have a margin of life have appeared in the opposite forces that are considered to be the target of financial crime and attacks them. Financial crime among crimes that target the smartphone SMS phishing, phishing, pharming, phishing, etc. voice and, in particular, a phenomenon that is growing a lot of SMS phishing is by nature a text message to your mobile. Ye Jin proactive rather than post responses in order to be safe from the SMS phishing attack individuals and businesses, and asset protection is even more important in the country. For this, the SMS phishing attack detected in advance and that can block the development program, it is necessary to deploy.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2018.10a
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• pp.210-212
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• 2018

According to the OECD (Organization for Economic Cooperation and Development) report, the suicide rate of senior citizens has been high since 2009 due to lower social participation compared to their youth and depression. As entering the Information Era, it became easier to form and expand relationships due to the influence of online community sites. However, it is difficult to use these community sites for the elderly because they lack accessiblity for seniors. In this paper, we describe the content of community mobile apps for senior citizens' social solitude and participation in information society. We also, analyze why community sites are difficult to use, and suggest community mobile app interfaces and content considering physical and cognitive conditions, focusing on user scenarios based on PACMAD, one of the user assessment models. This will serve as the basis for encouraging the elderly to participate in the information society.

• Journal of Information Technology Services
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• v.14 no.3
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• pp.1-18
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• 2015

Recent trends of mobile convergence has already brought about many changes in our digitally-powered society. Especially, taking advantage of strengths of existing mobile devices and smart phones have already been established as a primary standard in the business intelligence world. Such high-powered digital devices equipped with mobile convergence functions are getting more momentum as app stores are prevailing. Basically, the app stores are administered by smart phone manufacturers, creating a new business ecosystem among app developers and end-users. However, there are paucity of studies tackling an issue about how users' repurchase intention of the apps is influenced by the service qualities of the app stores. In this respect, this study aims to investigate the effect of app store service quality on users' satisfaction and repurchase intention. As the value of loyal customers is incomparably high in app commerce, winning customers' loyalty is vital to the success of app stores. In this study, a customer is defined as one who has purchased goods or services at least once from the app stores. The proposed research model includes a number of constructs such as app perceptions, customer service, perceived ease of use, design, promotion, perceived consumer risk and connectivity. Empirical results revealed that perceived consumer risk has a negative relationship with consumer's perceived repurchase intention. All the other variables-app perceptions, customer service, perceived ease of use, design, promotion, connectivity- are found to be positively related with the repurchase intentions.

• The Journal of the Korea Contents Association
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• v.19 no.2
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• pp.88-98
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• 2019

As the 2015 revised curriculum is being implemented from 2018, efforts are being made to cultivate scientific literacy among students in the field of science. Scientific experiments help students to develop their interest in Science and their scientific attitudes. Learning through experimentation rather than learning scientific facts increases learners' understanding, and can be remembered longer. Therefore, experiments in Science subject are very important. However, in middle schools, scientific experiments are not performed due to the lack of time, budget and experimental material. In this research, we analyze middle school science textbooks, conduct questionnaires for students of science pre-service teachers, select the most important science experiments, and develop a mobile App to simulate and experience scientific experiments with the App. The proposed App is developed in a game format using quest-based learning methods to gain learning enhancement. It is also made using Unity. In this paper, after developing the app, we propose the direction of STEAM contents development through analyzing the difference from existing apps and the feedback from users.

• Journal of Digital Convergence
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• v.17 no.4
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• pp.249-254
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• 2019

As an alternative to the growing problem of weather anomalies, users are using mobile weather apps to predict the weather. Even though it provides clear information, the user makes mistakes in forecasting the weather. For this reason, The purpose of this study is to find elements that can be prepared for the volatile weather through mobile application. Jakob Nielsen's "heuristic" evaluation found weaknesses in the application. Then I proceeded to analyze it from a behavioral economics standpoint. As a result, the two applications had various functions and accurate information. However, user accessibility was low and focused on 'information delivery'.

• The Journal of the Korea institute of electronic communication sciences
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• v.16 no.2
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• pp.301-306
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• 2021

In the field of year-based interpretation of important data, memory laws can be used as a way to enhance educational effectiveness. Studies related to how to remember numbers are conducted in the form of increasing memory rates by presenting information in the form of conventional simple images. We attempt to supplement the method proposed in the paper of numerical algorithm for modifying errors based on mnemonic system in mobile environments. We want to complement the error correction numerical algorithm proposed in previous work. The study was a way to compensate the errors that occur when users enter numerical information in the apps they use. In this work, we want to increase the memory rate based on two-dimensional information by imposing the concept of angles, rather than simply showing data to help recall memories from mistakes. To this end, we propose a problem-solving process using developed app, and implement and evaluate the short distance valid algorithms.