Analyzing of e-commerce user behavior to detect identity theft
Nema prikaza
Autori
Vucković, ZoranVukmirović, Dragan
Jovanović Milenković, Marina
Ristić, Slobodan
Prljić, Katarina
Članak u časopisu (Objavljena verzija)
Metapodaci
Prikaz svih podataka o dokumentuApstrakt
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.
Ključne reči:
Security / Information system / Identity theft / E-commerce / CrimeIzvor:
Physica A-Statistical Mechanics and Its Applications, 2018, 511, 331-335Izdavač:
- Elsevier Science Bv, Amsterdam
DOI: 10.1016/j.physa.2018.07.059
ISSN: 0378-4371
WoS: 000444667800030
Scopus: 2-s2.0-85051086012
Institucija/grupa
Fakultet organizacionih naukaTY - JOUR AU - Vucković, Zoran AU - Vukmirović, Dragan AU - Jovanović Milenković, Marina AU - Ristić, Slobodan AU - Prljić, Katarina PY - 2018 UR - https://rfos.fon.bg.ac.rs/handle/123456789/1808 AB - 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. PB - Elsevier Science Bv, Amsterdam T2 - Physica A-Statistical Mechanics and Its Applications T1 - Analyzing of e-commerce user behavior to detect identity theft EP - 335 SP - 331 VL - 511 DO - 10.1016/j.physa.2018.07.059 UR - conv_2101 ER -
@article{ author = "Vucković, Zoran and Vukmirović, Dragan and Jovanović Milenković, Marina and Ristić, Slobodan and Prljić, Katarina", year = "2018", 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.", publisher = "Elsevier Science Bv, Amsterdam", journal = "Physica A-Statistical Mechanics and Its Applications", title = "Analyzing of e-commerce user behavior to detect identity theft", pages = "335-331", volume = "511", doi = "10.1016/j.physa.2018.07.059", url = "conv_2101" }
Vucković, Z., Vukmirović, D., Jovanović Milenković, M., Ristić, S.,& Prljić, K.. (2018). Analyzing of e-commerce user behavior to detect identity theft. in Physica A-Statistical Mechanics and Its Applications Elsevier Science Bv, Amsterdam., 511, 331-335. https://doi.org/10.1016/j.physa.2018.07.059 conv_2101
Vucković Z, Vukmirović D, Jovanović Milenković M, Ristić S, Prljić K. Analyzing of e-commerce user behavior to detect identity theft. in Physica A-Statistical Mechanics and Its Applications. 2018;511:331-335. doi:10.1016/j.physa.2018.07.059 conv_2101 .
Vucković, Zoran, Vukmirović, Dragan, Jovanović Milenković, Marina, Ristić, Slobodan, Prljić, Katarina, "Analyzing of e-commerce user behavior to detect identity theft" in Physica A-Statistical Mechanics and Its Applications, 511 (2018):331-335, https://doi.org/10.1016/j.physa.2018.07.059 ., conv_2101 .