IDEAS home Printed from https://ideas.repec.org/a/epw/ejeng0/v3y2018i11id60920.html

Credit Card Fraud Detection System in Commercial Sites

Author

Listed:
  • Folake Akinbohun

    (Department of Computer Science, Rufus Giwa Polytechnic, Owo, Ondo State)

  • Sunday Kolawole Atanlogun

    (Department of Mathematics and Statistics, Rufus Giwa Polytechnic, Owo, Ondo State)

Abstract

In modern retail market, electronic commerce has rapidly gained a lot of attention and also provides instantaneous transactions. In electronic commerce, credit card has become the most important means of payment due to fast development in information technology around the world. The objective of the paper is to develop a credit card fraud detection system in commercial sites. It is designed as a web based application in which transition state model was adopted for the research process. PHP (Hypertext Pre-Processor) is used for application development and MySQL to generate databases. The result shows that the system performance is performing to its task and therefore recommended to electronic commerce owners to ensure data integrity and security of their customers.

Suggested Citation

  • Folake Akinbohun & Sunday Kolawole Atanlogun, 2018. "Credit Card Fraud Detection System in Commercial Sites," European Journal of Engineering and Technology Research, European Open Science, vol. 3(11), pages 1-5, October.
    • Handle: RePEc:epw:ejeng0:v:3:y:2018:i:11:id:60920
    DOI: 10.24018/ejeng.2018.3.11.920
    as

    Download full text from publisher

    File URL: https://eu-opensci.org/index.php/ejeng/article/view/60920
    File Function: Abstract page
    Download Restriction: no
    File URL: https://eu-opensci.org/index.php/ejeng/article/download/60920/11978
    File Function: Full text
    Download Restriction: no
    File URL: https://libkey.io/10.24018/ejeng.2018.3.11.920?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    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:epw:ejeng0:v:3:y:2018:i:11:id:60920. 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: Support (email available below). General contact details of provider: https://eu-opensci.org/index.php/ejeng .

    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.