Learning not to take the bait: a longitudinal examination of digital training methods and overlearning on phishing susceptibility
Christopher Nguyen,
Matthew Jensen and
Eric Day
European Journal of Information Systems, 2023, vol. 32, issue 2, 238-262
Abstract:
As phishing becomes increasingly sophisticated and costly, interventions that improve and prolong resistance to attacks are needed. Previous research supported digital training as a method to reduce phishing susceptibility. However, the effects of training degrade with time. Therefore, we investigate overlearning as an approach that may increase skill retention through repetition and developing automaticity. We performed a longitudinal experiment crossing overlearning with anti-phishing digital training (rule-based, mindfulness, and control). Participants were tested using email identification tests (immediately following and 10 weeks after training) and mock phishing messages delivered to their inboxes (1 week and 8 weeks following training). Results showed that compared to rule-based training, mindfulness training resulted in significantly greater retention in terms of better email discrimination and less susceptibility to phishing attacks but similar levels of caution towards phishing after 2 months. Overlearning resulted in significantly less susceptibility to phishing attacks and more caution towards phishing compared to no overlearning but did not impact the digital training approaches. Even so, mindfulness was more beneficial compared to overlearning. Altogether, the results demonstrate the stability of the benefits of mindfulness training over time in terms of mitigating phishing susceptibility without influencing the chances of missing legitimate emails.
Date: 2023
References: Add references at CitEc
Citations:
Downloads: (external link)
http://hdl.handle.net/10.1080/0960085X.2021.1931494 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:taf:tjisxx:v:32:y:2023:i:2:p:238-262
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/tjis20
DOI: 10.1080/0960085X.2021.1931494
Access Statistics for this article
European Journal of Information Systems is currently edited by Par Agerfalk
More articles in European Journal of Information Systems from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().