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Article . 2023
License: CC BY
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image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Article . 2023
License: CC BY
Data sources: ZENODO
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Article . 2023
License: CC BY
Data sources: Datacite
ZENODO
Article . 2023
License: CC BY
Data sources: Datacite
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Online identity theft detection and prevention methods

Authors: Matejkowski, Dominik; Szmyd, Przemysław;

Online identity theft detection and prevention methods

Abstract

Today, a significant amount of work is performed on computers. Because of the prevalence of technology, a lot of data can be obtained by gaining unauthorized access to important network machines, such as servers. Cyberciminals may also target individual Internet users, trying to acquire their personal information by the use of various methods. The gathered information can be used for identity theft, causing direct harm to the victim or an organization, with which they are associated. In this article we explain the nature of identity theft, examine different approaches used by cybercriminals and review a range of strategies for detecting and preventing this phenomenon. Additionally, we provide examples of two attacks: a phishing attack and an intrusion targeting an unsecured server within an organization's network. We conclude that the risk of data theft is often downplayed. An effective way of mitigating this threat is increasing the employees' knowledge about cyber security and using appropriate software and hardware measures.

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Keywords

identity theft, cybersecurity, cybercrime, phishing

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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