Predicting Personal Susceptibility to Phishing

Tjostheim, Ingvar; Waterworth, John

doi:10.1007/978-3-030-40690-5_54

Cited by 8 publications

(2 citation statements)

References 27 publications

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“…Analytic thinking is associated with sharing of higher quality news content on Twitter (Mosleh et al, 2021), a decreased susceptibility to phishing (i.e., online attacks where bad actors attempt to steal money or personal information; Tjostheim & Waterworth, 2020), and a weaker influence of misinformation exposure on misinformation acceptance (Hwang & Jeong, 2021).…”

Section: Misinformation and Fake Newsmentioning

confidence: 99%

A framework for understanding reasoning errors: From fake news to climate change and beyond

Pennycook¹

2023

Advances in Experimental Social Psychology

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Section: Misinformation and Fake Newsmentioning

confidence: 99%

A framework for understanding reasoning errors: From fake news to climate change and beyond

Pennycook¹

2023

Advances in Experimental Social Psychology

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“…For instance, high impulsivity can lead to poorly conceived, and risky behaviours [63]. Several studies [9,37,14,17] have used the Cognitive Reflection Test (CRT) in their phishing study to assess individuals' impulsivity. These studies found that individuals with lower impulsivity (therefore good impulse regulation) performed better in detecting phishing emails.…”

Section: A Stage One: Long-term Stablementioning

confidence: 99%

SoK: Human-Centered Phishing Susceptibility

Zhuo¹,

Biddle²,

Koh³

et al. 2022

Preprint

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Phishing is recognised as a serious threat to organisations and individuals. While there have been significant technical advances in blocking phishing attacks, people remain the last line of defence after phishing emails reach their email client. Most of the existing literature on this subject has focused on the technical aspects related to phishing. However, the factors that cause humans to be susceptible to phishing attacks are still not well-understood. To fill this gap, we reviewed the available literature and we propose a three-stage Phishing Susceptibility Model (PSM) for explaining how humans are involved in phishing detection and prevention, and we systematically investigate the phishing susceptibility variables studied in the literature and taxonomize them using our model. This model reveals several research gaps that need to be addressed to improve users' detection performance. We also propose a practical impact assessment of the value of studying the phishing susceptibility variables, and quality of evidence criteria. These can serve as guidelines for future research to improve experiment design, result quality, and increase the reliability and generalizability of findings.

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Inverting the Panopticon to Safeguard Privacy in Ambient Environments: An Exploratory Study

Tjostheim

Waterworth

2020

Lecture Notes in Computer Science

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Predicting Personal Susceptibility to Phishing

Cited by 8 publications

References 27 publications

A framework for understanding reasoning errors: From fake news to climate change and beyond

A framework for understanding reasoning errors: From fake news to climate change and beyond

SoK: Human-Centered Phishing Susceptibility

Inverting the Panopticon to Safeguard Privacy in Ambient Environments: An Exploratory Study

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