Detection of Fraud in the ranking of Mobile Apps

Authors

  • Nalluri Sunny  Computer Science and Engineering Department, V R Siddhartha Engineering College, Vijayawada, Andhra Pradesh, India
  • Kodali Eswar  Computer Science and Engineering Department, V R Siddhartha Engineering College, Vijayawada, Andhra Pradesh, India
  • Mastan MD Meera Durga  Computer Science and Engineering Department, V R Siddhartha Engineering College, Vijayawada, Andhra Pradesh, India

Keywords:

Rate based, Ranking based evidences, Mining leading sessions

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.

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2018-06-30

Issue

Volume 3, Issue 5, May-June-2018

Section

Research Articles

License

Copyright (c) IJSRCSEIT

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Nalluri Sunny, Kodali Eswar, Mastan MD Meera Durga, " Detection of Fraud in the ranking of Mobile Apps, IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 3, Issue 5, pp.1065-1069, May-June-2018.