Gami cation of Phishing URL Detection Training
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2020-01-28
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en
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Abstract
Educating internet users about phishing as a last line of defence is an important
tool at our disposal to prevent cyber crime. In this study two methods are com-
pared for their e ectiveness in training individuals to correctly classify URLs into
two categories; phishing URLs or normal URLs. One of these training methods uses
a simple document, whereas the other is the gami ed version of the aforementioned
document. The gami cation was based on a recent guideline for structural gami -
cation. An experiment was conducted to evaluate the e ectiveness of both training
methods. The data showed that both methods were proven to increase the partici-
pants accuracy in classifying URLs, although there was not a signi cant di erence
between the two training methods. The data ts the mixed bag of results that is
research on gami cation and also education on cyber security issues.
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Faculteit der Sociale Wetenschappen