How Contextualisation Affects the Vulnerability of Individuals to Phishing Attempts
2019
- 190Usage
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Usage190
- Abstract Views136
- Downloads54
Article Description
Hackers who engage in phishing manipulate their victims into revealing confidential information by exploiting their motives, habits and cognitive biases. Drawing on heuristic-systematic processing and anchoring effects, this study examines how the contextualisation of phishing messages, by modifying their framing and content, affects individual susceptibility to phishing. This study also investigates if there is a discrepancy between how individuals believe they will react to phishing attempts and their actual reactions. Using two fake phishing campaigns and an online survey, we find that individuals are more susceptible to phishing attempts when the phishing messages they receive are specific to their context, thereby appealing to their psychological vulnerabilities. There is also a significant gap between how individuals believe they will react and their actual reactions to phishing attempts. Finally, we find that these results vary by gender.
Bibliographic Details
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