APPraiser: A large scale analysis of android clone apps

Yuta Ishii, Takuya Watanabe, Mitsuaki Akiyama, Tatsuya Mori

    Research output: Contribution to journalArticle

    1 Citation (Scopus)

    Abstract

    Android is one of the most popular mobile device platforms. However, since Android apps can be disassembled easily, attackers inject additional advertisements or malicious codes to the original apps and redistribute them. There are a non-negligible number of such repackaged apps. We generally call those malicious repackaged apps "clones." However, there are apps that are not clones but are similar to each other. We call such apps "relatives." In this work, we developed a framework called APPraiser that extracts similar apps and classifies them into clones and relatives from the large dataset. We used the APPraiser framework to study over 1.3 million apps collected from both official and third-party marketplaces. Our extensive analysis revealed the following findings: In the official marketplace, 79% of similar apps were attributed to relatives, while in the third-party marketplace, 50% of similar apps were attributed to clones. The majority of relatives are apps developed by prolific developers in both marketplaces. We also found that in the third-party market, of the clones that were originally published in the official market, 76% of them are malware.

    Original languageEnglish
    Pages (from-to)1703-1713
    Number of pages11
    JournalIEICE Transactions on Information and Systems
    VolumeE100D
    Issue number8
    DOIs
    Publication statusPublished - 2017 Aug 1

    Keywords

    • Android
    • Large-scale data
    • Mobile security
    • Repackaging

    ASJC Scopus subject areas

    • Software
    • Hardware and Architecture
    • Computer Vision and Pattern Recognition
    • Artificial Intelligence
    • Electrical and Electronic Engineering

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