IDEAS home Printed from https://ideas.repec.org/a/eee/phsmap/v511y2018icp331-335.html
   My bibliography  Save this article

Analyzing of e-commerce user behavior to detect identity theft

Author

Listed:
  • Vučković, Zoran
  • Vukmirović, Dragan
  • Milenković, Marina Jovanović
  • Ristić, Slobodan
  • Prljić, Katarina

Abstract

One of the most common crime in cyber world is identity theft. In order to detect the identity theft there is need to analyze users’ behavior on different web platforms. In this study was investigated e-commerce users’ behavior in order to detect the identity theft. Survey data was used with different factors which are in relation to identity theft occurrences. Results were shown that the online and physical security and monitoring of account has negative impact on the frequency of this crime. Offline and online risk and victimization has positive influence on the crime frequency. Finally, information system of e-commerce for identity theft detection was presented and analyzed.

Suggested Citation

  • Vučković, Zoran & Vukmirović, Dragan & Milenković, Marina Jovanović & Ristić, Slobodan & Prljić, Katarina, 2018. "Analyzing of e-commerce user behavior to detect identity theft," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 511(C), pages 331-335.
  • Handle: RePEc:eee:phsmap:v:511:y:2018:i:c:p:331-335
    DOI: 10.1016/j.physa.2018.07.059
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378437118309312
    Download Restriction: Full text for ScienceDirect subscribers only. Journal offers the option of making the article available online on Science direct for a fee of $3,000

    As the access to this document is restricted, you may want to search for a different version of it.

    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:eee:phsmap:v:511:y:2018:i:c:p:331-335. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Dana Niculescu). General contact details of provider: http://www.journals.elsevier.com/physica-a-statistical-mechpplications/ .

    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 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.