International Peer-Reviewed Open Access Journal ISSN (Online): 2395-5325
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International Journal of Contemporary Research in Computer Science and Technology

Peer Reviewed Open Access Fully Refereed Journal Since 2015
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Article Information
  • Published In Volume 2, Issue 3 (2016)
  • Publication Date July 27, 2026
  • Manuscript ID IJCRCST-MARCH16-10
  • Article Type Research Paper
  • Pages 524 - 527
  • 7 Views 0 Downloads

Abstract

Ranking fraud in the mobile app market are fraudulent or deceptive activities that have a purpose of bumping up the apps in the popularity list. The existing app stores pose drawbacks such as inability to provide the number of users for an app. Also viewing and downloading an app by the same user increases its hit rate. This makes the app developers to easily commit ranking fraud. While the importance of preventing ranking fraud has been widely recognized, there is limited understanding and research in this area. To end this, in this paper, we provide a fraud discovery system for mobile apps that can overcome the shortcomings of the existing system. This system aims at reducing the fraud ranking that happens by allowing the users to download the app using a secret key provided to them. It provides a way to track the user who involved in the fraud activity and thus makes the admin to maintain a list of unique users for an app. Thus it can make the admin of the app store to identify and award the original apps owners alone. Also through this system the users can be directed to download the genuinely ranked apps.

Keywords

Ranking Fraud App Rating Mobile App Leaderboards App Store Hit rate.

Authors

Dr. Soundararajan
Janaat.V
Pothireddy Akhila
Keerthana.M
How to Cite this Article

Dr. Soundararajan, Janaat.V, Pothireddy Akhila, Keerthana.M (2016). "RANKING FRAUD DETECTION SYSTEM FOR MOBILE APPS". International Journal of Contemporary Research in Computer Science and Technology, 2(3), pp. 524-527.