Analyzing of e-commerce user behavior to detect identity theft

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 differe...

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Bibliographic Details
Published in:Physica A 2018-12, Vol.511, p.331-335
Main Authors: Vučković, Zoran, Vukmirović, Dragan, Milenković, Marina Jovanović, Ristić, Slobodan, Prljić, Katarina
Format: Article
Language:English
Subjects:
Crime
E-commerce
Identity theft
Information system
Security
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Summary: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. •Identity theft preventive models and frameworks.•Protective behaviors and risk behaviors for identity theft.•A new preventive identity theft model.
ISSN:0378-4371
1873-2119
DOI:10.1016/j.physa.2018.07.059