IDEAS home Printed from https://ideas.repec.org/a/jbh/ijsrcs/v3y2018i6idhcseit183662.html

Discovering Fraudulent Behaviors in Google App Stories

Author

Listed:
  • G. Sasikala
  • N. Jayanthi

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.

Suggested Citation

  • G. Sasikala & N. Jayanthi, 2018. "Discovering Fraudulent Behaviors in Google App Stories," 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(6), pages 336-344, July.
    • Handle: RePEc:jbh:ijsrcs:v3:y2018:i6:id:hcseit183662
    Note: Article URL: https://ijsrcseit.com/CSEIT183662
    as

    Download full text from publisher

    File URL: https://ijsrcseit.com/CSEIT183662
    File Function: Article URL
    Download Restriction: no
    File URL: https://ijsrcseit.com/paper/CSEIT183662.pdf
    File Function: Full text
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:jbh:ijsrcs:v3:y2018:i6:id:hcseit183662. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Pankaj Sharma (USA) (email available below). General contact details of provider: https://ijsrcseit.com/home .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.