Discovering Fraudulent Behaviors in Google App Stories

Authors

  • G. Sasikala  Assistant Professor, Department of Computer Science and Applications, Adhiparasakthi College of Arts and Science (Autonomous), G.B.Nagar, Kalavai, Vellore, Tamil Nadu, India
  • N. Jayanthi  M.Phil (CS) Research Scholar, Department of Computer Science and Applications, Adhiparasakthi College of Arts and Science (Autonomous), G.B.Nagar, Kalavai, Vellore, Tamil Nadu, India

Keywords:

Ranking, Review, Rating, Android market, search rank fraud, malware detection

Abstract

Google play store first releases its applications in 2008. Since that, it distributes applications to all the Android users. In Google Play Store, an extensive number of those applications are created by a small number of developers; it provides benefits that user can find the specific application, purchase those applications and install it on their mobile devices. Since Android is open source environment, all the details about the application users can be easily accessed by the application developers through Google play. In Google play 1.8 Million mobile applications are accessible and over 25 billion users download that across the world. This prompts to greater chance of installing malware to the applications that could affect user’s mobile devices. FairPlay is formed as a system to find and use traces left behind by fraudulent developers to identify both malware and apps subjected to search rank fraud based on review, rating and ranking. FairPlay also links review activities and uniquely combines detected review, rating and ranking relations with linguistic and behavioural signals collected from Google Play app data.

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

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Published

2018-07-30

Issue

Volume 3, Issue 6, July-August-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]
G. Sasikala, N. Jayanthi, " Discovering Fraudulent Behaviors in Google App Stories, IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 3, Issue 6, pp.336-344, July-August-2018.