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Analyzing of e-commerce user behavior to detect identity theft


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


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

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    References listed on IDEAS

    1. Roberds, William & Schreft, Stacey L., 2009. "Data breaches and identity theft," Journal of Monetary Economics, Elsevier, vol. 56(7), pages 918-929, October.
    2. Eisenstein, Eric M., 2008. "Identity theft: An exploratory study with implications for marketers," Journal of Business Research, Elsevier, vol. 61(11), pages 1160-1172, November.
    3. Matejkovic, John E. & Lahey, Karen Eilers, 2001. "Identity theft: no help for consumers," Financial Services Review, Elsevier, vol. 10(1-4), pages 221-235.
    4. Kahn, Charles M. & Roberds, William, 2008. "Credit and identity theft," Journal of Monetary Economics, Elsevier, vol. 55(2), pages 251-264, March.
    5. repec:eee:joinma:v:30:y:2015:i:c:p:1-19 is not listed on IDEAS
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