• Title/Summary/Keyword: Application(App)

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Mobile App Privacy Checklist for Consumer (모바일 앱 프라이버시 보호를 위한 소비자 체크리스트)

  • Li, Hua-Yu;Kim, Lin-Ah;Rha, Jong-Youn
    • Journal of Digital Convergence
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    • v.13 no.6
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    • pp.1-12
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    • 2015
  • In recent years, the privacy concern for mobile consumers is emerging as the use of mobile application(apps) is growing according to the rapid spread of mobile devices such as smart phones and tablet PCs. To improve privacy protections in the mobile communications and apps, overseas organizations are announcing guidelines and/or checklists for stake holders. Although personal information protection guidelines for application developers have been prepared in the country, efforts to improve consumer privacy capability is insufficient. Thus, in this paper we first scope the app privacy related guidelines in both domestic and foreign affairs, then present the risk factors of privacy invasion by the stage of mobile application use based on the "Privacy Protection Act", offering privacy checklists for consumers. This checklist will enhance the self-management capability of consumer privacy and create virtuous cycle in the mobile ecosystem.

A Code Concealment Method using Java Reflection and Dynamic Loading in Android (안드로이드 환경에서 자바 리플렉션과 동적 로딩을 이용한 코드 은닉법)

  • Kim, Jiyun;Go, Namhyeon;Park, Yongsu
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.25 no.1
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    • pp.17-30
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    • 2015
  • Unlike existing widely used bytecode-centric Android application code obfuscation methodology, our scheme in this paper makes encrypted file i.e. DEX file self-extracted arbitrary Android application. And then suggests a method regarding making the loader app to execute encrypted file's code after saving the file in arbitrary folder. Encrypted DEX file in the loader app includes original code and some of Manifest information to conceal event treatment information. Loader app's Manifest has original app's Manifest information except included information at encrypted DEX. Using our scheme, an attacker can make malicious code including obfuscated code to avoid anti-virus software at first. Secondly, Software developer can make an application with hidden main algorithm to protect copyright using suggestion technology. We implement prototype in Android 4.4.2(Kitkat) and check obfuscation capacity of malicious code at VirusTotal to show effectiveness.

Toward Mobile Cloud Computing-Cloudlet for implementing Mobile APP based android platform (안드로이드 기반의 모바일 APP 개발을 위한 모바일 클라우드 컴퓨팅)

  • Nkenyereye, Lionel;Jang, Jong-Wook
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.19 no.6
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    • pp.1449-1454
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    • 2015
  • Virtualization lacks capabilities for enabling the application to scale efficiently because of new applications components which are raised to be configured on demand. In this paper, we propose an architecture that affords mobile app based on nomadic smartphone using not only mobile cloud computing-cloudlet architecture but also a dedicated platform that relies on using virtual private mobile networks to provide reliable connectivity through LTE(Long Term Evolution) wireless communication. The design architecture lies with how the cloudlet host discovers service and sends out the cloudlet IP and port while locating the user mobile device. We demonstrate the effectiveness of the proposed architecture by implementing an android application responsible of real time analysis by using a vehicle to applications smartphone interface approach that considers the smartphone to act as a remote users which passes driver inputs and delivers outputs from external applications.

An Analysis of Group Characteristics according to Technological Innovativeness and Clothing Involvement: Focused on the Usage Status of Smart Phone Fashion Information Application (기술혁신성과 의복관여도에 따른 집단별 특성 분석: 스마트폰 패션 정보 애플리케이션 사용현황을 중심으로)

  • Kang, Bongsoo;Sung, Heewon
    • Journal of Fashion Business
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    • v.18 no.5
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    • pp.25-41
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    • 2014
  • As the smart phone market grows rapidly, the significance of the application (app) market also increases. The purposes of this study were to identify market segments according to technological innovativeness and clothing involvement, and to compare the differences in lifestyles, benefits of fashion information app sought, and intention to use. The data were collected from smart phone users in their 10s to 30s in 2013, and a total of 292 data sets were analyzed. The findings of this study were as follows. The respondents were divided into three groups, innovative group, clothing involvement group, and passive group. Significant differences were found among three segments in terms of age, marital status, education level, and monthly income. With respect to five lifestyle factors, innovative group and clothing involvement group had higher mean scores for rational purchase, personal relationship, and personality pursuit than passive group. However, these two groups showed differences in brand pursuit factor. The benefits of the fashion information app were generated into two factors, information benefit and enjoyment benefit. Innovative group and clothing involvement group had higher values than passive group in these two factors. Finally, innovative group had the highest value on the intention to use fashion information app. This study attempts to provide fundamental information about the potential market segment for managers or marketers developing fashion information apps.

Development of the Smoking Cessation Convergence Program App for HIV Infected Persons : Usability Evaluation (HIV 감염인을 위한 융합금연프로그램 앱 개발 : 사용성 평가)

  • Kim, Seon Hwa;Kweon, Young-Ran;Kim, Miran;An, Minjeong
    • Journal of Convergence for Information Technology
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    • v.9 no.11
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    • pp.28-37
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    • 2019
  • The purpose of this study was to develop an application(app) on smoking cessation for patients with human immunodeficiency virus (HIV) infection and evaluate its usability. A methodological study design was applied. The program contents were developed by expert panel based on the theory of planned behavior, HIV infection, and smoking cessation and usability evaluation and then the application was developed by IT experts following usability testing composed of heuristic evaluation by 3 mobile experts and users evaluation was conducted using surveys and interviews by 10 individuals with HIV infection. Descriptive statistics and contents analysis were computed to evaluated the collected data. All participants were male and their age were ranged from 40s to 60s. The average of app usability was 4.2. The participants experienced no difficulties and responded somewhat satisfaction. The results showed that the app was feasible and useful on smoking cessation for HIV patients and could be used as an valid approach.

An Empirical Study on Digital Transformation of Traditional Markets; Focused on Traditional Market Delivery Application (전통시장의 디지털 전환에 관한 연구; 전통시장 배달 앱을 중심으로)

  • Hong, Susie;Yang, Jong-Gon
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.22 no.6
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    • pp.484-491
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    • 2021
  • This study was undertaken to identify success factors of traditional market delivery apps and lead digital transformation of traditional markets. The success factors of traditional market delivery apps are represented by four variables: system characteristics of the app, delivery, products, and responsibility towards customer responses. These factors were analyzed to examine their impact on the operations performance. Data was collected by surveying 148 traditional market business owners. Results of the empirical analysis revealed that the app system characteristics, delivery characteristics, and product sales promotion, impart a significant effect on the operations performance. Conversely, the customer response characteristics showed no significant effects. This could be because some apps lack the function to check customer reviews and respond appropriately. Currently, where traditional market delivery apps are in the early stages of implementation and are gradually expanding, data obtained from this study helps to identify characteristics of traditional market delivery apps, and offers suggestions to create development indicators of the traditional market delivery apps by analyzing their effects on operational performance, thereby contributing to the revival of traditional markets through digital transformation.

User Interaction Library for Natural Science Education Digital App-Book on Android Platform (안드로이드 기반 자연과학 교육용 디지털 앱북 개발을 위한 사용자 상호작용 라이브러리)

  • Lee, Kang-Woon;Beak, A-Ram;Choi, Haechul
    • Journal of Broadcast Engineering
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    • v.20 no.1
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    • pp.110-121
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    • 2015
  • The digital app-book is an advanced form of the electronic book (e-book), which attracts a lot of interests by the help of video, sound, sensors and a variety of interactions. As mobile devices have evolved, the demand of digital app-books is also rising substantially. However, the distribution of digital app-book contents is hard to meet the demand because the digital app-book requires a lot of programming cost for the interaction. To resolve this problem, Was verified and implementation as a library function of the interaction between device and user. The proposed library consists of three parts (user action recognition, device action, and content action) and provides various user-device interaction functions by combining methods of each part, which can support source code reusability, easy understanding and availability, and wide expandibility. The library was used in the development of natural science education app-book contents. As a result, it could reduce a lot of code lines and facilitate more rapid app-book development.

Detecting Repackaged Applications using the Information of App Installation in Android Smartphones (안드로이드 스마트폰에서 앱 설치 정보를 이용한 리패키징 앱 탐지 기법)

  • Joun, Young Nam;Ahn, Woo Hyun
    • Convergence Security Journal
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    • v.12 no.4
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    • pp.9-15
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    • 2012
  • In recently years, repackaged malwares are becoming increased rapidly in Android smartphones. The repackaging is a technique to disassemble an app in a market, modify its source code, and then re-assemble the code, so that it is commonly used to make malwares by inserting malicious code in an app. However, it is impossible to collect all the apps in many android markets including too many apps. To solve the problem, we propose RePAD (RePackaged App Detector) scheme that is composed of a client and a remote server. In the smartphone-side, the client extracts the information of an app with low CPU overhead when a user installs the app. The remote server analyzes the information to decide whether the app is repackaged or not. Thus, the scheme reduces the time and cost to decide whether apps are repackaged. For the experiments, the client and server are implemented as an app on Galaxy TAB and PC respectively. We indicated that seven pairs of apps among ones collected in official and unofficial market are repackaged. Furthermore, RePAD only increases the average of CPU overhead of 1.9% and the maximum memory usage of 3.5 MB in Galaxy TAB.

The Use of the ARCS Motivation Model in Mobile Learning Apps Design (ARCS 동기 이론을 적용한 학습용 모바일 앱 설계 연구)

  • Kim, Eui-Ho;Yang, Hae-Sool
    • Journal of Digital Convergence
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    • v.13 no.4
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    • pp.69-79
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    • 2015
  • As the distribution rate of a smart phone which can actualize even augmented reality is getting higher, the application scope of a smart phone is sharply increasing. However, in spite of various functions of it, there is still lack of learning app. Mobile equipments can bring no spatial-temporal restriction of learning to a learner, but they can tempt a learner into inappropriate spaces. In this sense, learning app is necessarily needed to motivate and keep learner's inner desire. This thesis suggested considerations when learning mobile app is designed by analyzing motivation strategy of ARCS Theory and UI of web based contents. Also, a design method of mobile learning app was suggested based on a procedural model of mobile learning app adapting ARCS Theory.

Mepelyzer : Malicious App Identification Mechanism based on Method & Permission Similarity Analysis of Server-Side Polymorphic Mobile Apps (Mepelyzer : 서버 기반 다형상 모바일 앱에 대한 메소드 및 퍼미션 유사도 기반 악성앱 판별)

  • Lee, Han Seong;Lee, Hyung-Woo
    • Journal of the Korea Convergence Society
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    • v.8 no.3
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    • pp.49-61
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    • 2017
  • Recently, convenience and usability are increasing with the development and deployment of various mobile applications on the Android platform. However, important information stored in the smartphone is leaked to the outside without knowing the user since the malicious mobile application is continuously increasing. A variety of mobile vaccines have been developed for the Android platform to detect malicious apps. Recently discovered server-based polymorphic(SSP) malicious mobile apps include obfuscation techniques. Therefore, it is not easy to detect existing mobile vaccines because some other form of malicious app is newly created by using SSP mechanism. In this paper, we analyze the correlation between the similarity of the method in the DEX file constituting the core malicious code and the permission similarity measure through APK de-compiling process for the SSP malicious app. According to the analysis results of DEX method similarity and permission similarity, we could extract the characteristics of SSP malicious apps and found the difference that can be distinguished from the normal app.