• Title/Summary/Keyword: Inter-app Security

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Research on Service Enhancement Approach based on Super App Review Data using Topic Modeling (슈퍼앱 리뷰 토픽모델링을 통한 서비스 강화 방안 연구)

  • Jewon Yoo;Chie Hoon Song
    • Journal of the Korean Society of Industry Convergence
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    • v.27 no.2_2
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    • pp.343-356
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    • 2024
  • Super app is an application that provides a variety of services in a unified interface within a single platform. With the acceleration of digital transformation, super apps are becoming more prevalent. This study aims to suggest service enhancement measures by analyzing the user review data before and after the transition to a super app. To this end, user review data from a payment-based super app(Shinhan Play) were collected and studied via topic modeling. Moreover, a matrix for assessing the importance and usefulness of topics is introduced, which relies on the eigenvector centrality of the inter-topic network obtained through topic modeling and the number of review recommendations. This allowed us to identify and categorize topics with high utility and impact. Prior to the transition, the factors contributing to user satisfaction included 'payment service,' 'additional service,' and 'improvement.' Following the transition, user satisfaction was associated with 'payment service' and 'integrated UX.' Conversely, dissatisfaction factors before the transition encompassed issues related to 'signup/installation,' 'payment error/response,' 'security authentication,' and 'security error.' Following the transition, user dissatisfaction arose from concerns regarding 'update/error response' and 'UX/UI.' The research results are expected to be used as a basis for establishing strategies to strengthen service competitiveness by making super app services more user-oriented.

Crowdsourced Risk Minimization for Inter-Application Access in Android

  • Lee, Youn Kyu;Kim, Tai Suk
    • Journal of Korea Multimedia Society
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    • v.20 no.5
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    • pp.827-834
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    • 2017
  • Android's inter-application access enriches its application ecosystem. However, it exposes security vulnerabilities where end-user data can be exploited by attackers. While existing techniques have focused on minimizing the risks of inter-application access, they either suffer from inaccurate risk detection or are primarily available to expert users. This paper introduces a novel technique that automatically analyzes potential risks between a set of applications, aids end-users to effectively assess the identified risks by crowdsourcing assessments, and generates an access control policy which prevents unsafe inter-application access at runtime. Our evaluation demonstrated that our technique identifies potential risks between real-world applications with perfect accuracy, supports a scalable analysis on a large number of applications, and successfully aids end-users' risk assessments.

Detection of Privacy Information Leakage for Android Applications by Analyzing API Inter-Dependency and the Shortest Distance (API간 상호 의존성 및 최단거리 분석을 통한 안드로이드 애플리케이션의 개인정보 유출 탐지 기법)

  • Kim, Dorae;Park, Yongsu
    • Journal of KIISE
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    • v.41 no.9
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    • pp.707-714
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    • 2014
  • In general, the benign apps transmit privacy information to the external to provide service to users as the malicious app does. In other words, the behavior of benign apps is similar to the one of malicious apps. Thus, the benign app can be easily manipulated for malicious purposes. Therefore, the malicious apps as well as the benign apps should notify the users of the possibility of privacy information leakage before installation to prevent the potential malicious behavior. In this paper, We propose the method to detect leakage of privacy information on the android app by analyzing API inter-dependency and shortest distance. Also, we present LeakDroid which detects leakage of privacy information on Android with the above method. Unlike dynamic approaches, LeakDroid analyzes Android apps on market site. To verify the privacy information leakage detection of LeakDroid, we experimented the well-known 250 malicious apps and the 1700 benign apps collected from Android Third party market. Our evaluation result shows that LeakDroid reached detection rate of 96.4% in the malicious apps and detected 68 true privacy information leakages inside the 1700 benign apps.

Countermeasure of Mobile App tamper attack (모바일 앱 위·변조 공격 및 대응방안)

  • Jung, Hyun Soo
    • Journal of Convergence Society for SMB
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    • v.5 no.1
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    • pp.37-40
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    • 2015
  • Recently range of use also being increase along with smart phone users growing. And keep pace with hacking technician is increasing inter alia tamper technician has issued. This technician infringe integrity on three element of security of data. In this case reliability has deteriorated, the app itself has increased danger, and it's value has reduced. This can affect like take information even though don't have any authority to information or hemorrhage at large in this country. In other words, I has been arranged tamper's definition to.

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