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Analyzing of e-commerce user behavior to detect identity theft

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

Physica A: Statistical Mechanics and its Applications, 2018, vol. 511, issue C, 331-335

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.

Keywords: Information system; Identity theft; E-commerce; Crime; Security (search for similar items in EconPapers)
Date: 2018
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Physica A: Statistical Mechanics and its Applications is currently edited by K. A. Dawson, J. O. Indekeu, H.E. Stanley and C. Tsallis

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