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A Scalable Cloud-Based Android App Repackaging Detection Framework

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  • First Online:
Green, Pervasive, and Cloud Computing

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 9663))

Abstract

The problem of app repackaging has become a huge threat to the security of Android ecosystem. The massive amount of existing and developing apps makes a high demand on scalability of app repackaging detectors. In this paper, we propose a cloud-based app repackaging detection framework. It is designed to analyze and detect repacked Android apps in a large-scale way. The framework consists of three primary components: market monitor, app feature extractor and app similarity computer. Market monitor crawls all new and updated apps in specific alternative app markets periodically. Then, the multi-level features of apps are extracted by app feature extractor. App similarity computer computes the similarity score of two apps based on these features. A prototype system is implemented. The evaluation results demonstrate that the proposed cloud-based framework is highly scalable and effective for large-scale Android app repackaging detection.

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Author information

Authors and Affiliations

  1. School of Automation, Northwestern Polytechnical University, Xi’an, China

    Jinghua Li, Xiaoyan Liu, Huixiang Zhang & Dejun Mu

Authors
  1. Jinghua Li
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  2. Xiaoyan Liu
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  3. Huixiang Zhang
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  4. Dejun Mu
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Corresponding author

Correspondence to Jinghua Li .

Editor information

Editors and Affiliations

  1. Fujian Normal University, Fuzhou, China

    Xinyi Huang

  2. Deakin University, Burwood, Australia

    Yang Xiang

  3. Providence University, Taichung, Taiwan

    Kuan-Ching Li

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Cite this paper

Li, J., Liu, X., Zhang, H., Mu, D. (2016). A Scalable Cloud-Based Android App Repackaging Detection Framework. In: Huang, X., Xiang, Y., Li, KC. (eds) Green, Pervasive, and Cloud Computing. Lecture Notes in Computer Science(), vol 9663. Springer, Cham. https://doi.org/10.1007/978-3-319-39077-2_8

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  • DOI: https://doi.org/10.1007/978-3-319-39077-2_8

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-39076-5

  • Online ISBN: 978-3-319-39077-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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