• Title/Summary/Keyword: 앱스토어

Search Result 129, Processing Time 0.029 seconds

A Guidelines for Establishing Mobile App Management System in Military Environment - focus on military App store and verification system - (국방환경에서 모바일 앱 관리체계 구축방안 제시 - 국방 앱스토어 및 검증시스템 중심으로 -)

  • Lee, Gab-Jin;Goh, Sung-Cheol
    • Journal of the Korea Institute of Information and Communication Engineering
    • /
    • v.17 no.3
    • /
    • pp.525-532
    • /
    • 2013
  • Recently. smartphones have been popularized rapidly and now located deep in our daily life, providing a variety of services from banking, SNS (Social Network Service), and entertainment to smart-work mobile office through apps. Such smartphone apps can be easily downloaded from what is known as app store which, however, bears many security issues as software developers can just as easily upload to it. Military apps will be exposed to a myriad of security threats if distributed through internet-basis commercial app store. In order to mitigate such security concerns, this paper suggests a security guidelines for establishing a military-excusive app store and security verification system which prevent the security hazards that can occur during the process of development and distribution of military-use mobile apps.

App Recommendation Based on Characteristic Similarity (특성 유사도 기반 앱 추천)

  • Kim, Hyung-Il
    • Journal of Digital Contents Society
    • /
    • v.13 no.4
    • /
    • pp.559-565
    • /
    • 2012
  • The remarkable development of IT is contributed to popularization of smart phones, which in turn creates a new domain called app store. Smartphone apps have grown fast because they can be easily purchased through an app store. As the volume of apps traded in app stores is so huge that it is extremely hard for users to find the exact app they want. In general, an app store recommends an app to users based on the search words they entered. In terms of recommendation of app, this kind of content-based method is not effective. To increase accuracy in recommending app, this paper proposes a characteristic similarity-based app recommendation method. This method creates attributes on the app based on the related information such as genre, functionality and number of downloads and then compares them with the propensity to use the app. According to diverse simulations, the method proposed in this paper improved the performance of app recommendation by 33% in average, compared to the conventional method.

Study on the Performance of Information Search Process in term of Attributes of Apps in Appstore and Buyer's Innovativeness (앱스토어 구매자의 혁신성과 앱의 속성에 따른 정보탐색 성과에 관한 연구)

  • Baek, Sung-Wook;Ahn, Hyo-Young;Lee, Zoon-Ky
    • Journal of Internet Computing and Services
    • /
    • v.13 no.4
    • /
    • pp.103-119
    • /
    • 2012
  • In this paper, we conducted for information search process of users, who have experience to buy paid-application in Appstore, to find out difference of information searching efforts and information sources, reliance on the information in term of attributes of Apps and buyes' innovativenss. As a result, Innovative buyers take a effort to search various information source but they get help buying decision-making supports by own their efforts like searching in category. On the other hand, non-Innovative buyers who search informtion less than Innovative buyers, get information like recommendation from friend and Apps, then they keep those information help buying decision-making supports highly. Besides buyers of Utility Apps search on objective information sources mainly, but those sources have influence on buying decision-making supports. On the other side buyers of Enjoyment Apps consider reliance on the information more than information searching efforts to buying decision-making supports as they get information source like popularity. This research suggests operators of Appstore and app developers how to promote their Apps to users.

A Study of Factors Affecting Mobile Application Download (모바일 애플리케이션 다운로드에 영향을 미치는 요인에 관한 연구)

  • Wan, Lili
    • Journal of Digital Convergence
    • /
    • v.12 no.7
    • /
    • pp.189-196
    • /
    • 2014
  • Mobile applications are significantly impacting people's smart phone using behavior and mobile industry value chain. By examining sources of data on mobile applications use, this study presents evidence about what factors would affect the amount of apps download, which may be useful to guide app designers and publishers to develop more persuasive new apps and marketing strategies. The results indicated app ranking had effect on download amount of apps in both Android app market and Apple app store, while prices of apps had no impact on the amount of download. App type, developer experience, and locality had effect on the amount of download only for paid apps in Apple app store.

the iPhone Basic of Pay Won System Develop Direction (아이폰 기반의 원화결제 시스템 발전방향)

  • Choi, Hea-Jin;Ryu, Chang-Su
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
    • /
    • 2012.05a
    • /
    • pp.422-425
    • /
    • 2012
  • Korea's conventional iPhone users had to pay for their applications in dollars. However, Apple will have to consider implementing a payment system in Korean won. Apple has strongly insisted on using the payment system in dollars, but despite its relatively small sales proportion, it will turn to the Korean market that ranks 3rd in the world for its number of downloads. In other words, the Korean market has tremendous potential for growth. Thus, this study aimed to analyze the changes that will be experienced by Apple in the Korean market due to the implementation of the iPhone-based won payment system, price fluctuations due to the introduction of iTunes, as well as positive aspects and implications of Apple's market expansion in Korea when users make payments in Korean won.

  • PDF

Mobile Application Privacy Leak Detection and Security Enhancement Research (모바일 어플리케이션 개인정보 유출탐지 및 보안강화 연구)

  • Kim, Sungjin;Hur, Junbeom
    • Journal of the Korea Institute of Information Security & Cryptology
    • /
    • v.29 no.1
    • /
    • pp.195-203
    • /
    • 2019
  • Mobile applications stores such as Google Play Store and Apple App Store, are widely used to distribute a variety of applications including finance, shopping, and entertainment. Recently, however, vulnerabilities of the mobile applications are likely to violate users' privacy such as personal information leakage. In this paper, we classify mobile applications that can be download from mobile stores, and analyze the personal information that could be leaked when users are using the mobile applications. As a result of analysis, we found that personal information are leaked in some widely used mobile applications in practice. On the basis of our experiment results, we propose some mitigations to enhance security of the mobile applications and prevent leakage of personal information.