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Detection of Fraud in the ranking of Mobile Apps

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  • Nalluri Sunny
  • Kodali Eswar
  • Mastan MD Meera Durga

Abstract

The ranking fraud in the mobile Apps market leads to misleading and illusive activities which is used in keeping more and more Apps in the popularity list. Many of the misguiding means were used by the developers such as posting unauthentic App ratings, for the purpose of ranking. In this paper a comprehensive view of ranking fraud and a detection system for the mobile apps is given. The proposed method is based on the leading sessions of the mobile Apps and locating the ranking fraud by the active periods in them. Those leading sessions were used for detecting the global and local App rankings. Evidences like ranking based evidences, rating based evidences and review based evidences through statistical hypotheses tests were used. Finally, we evaluated the proposed system with real-world App data collected from the iOS App Store for a long time period. In the experiments, we also validated the effectiveness of the proposed system, and the scalability of the detection algorithm as well as some regularity of ranking fraud activities.

Suggested Citation

  • Nalluri Sunny & Kodali Eswar & Mastan MD Meera Durga, 2018. "Detection of Fraud in the ranking of Mobile Apps," International Journal of Scientific Research in Computer Science, Engineering and Information Technology, International Journal of Scientific Research in Computer Science, Engineering and Information Technology, vol. 3(5), pages 1065-1069, June.
    • Handle: RePEc:jbh:ijsrcs:v3:y2018:i5:id:hcseit1835233
    Note: Article URL: https://ijsrcseit.com/CSEIT1835233
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