Effects of visual risk indicators on phishing detection behavior: An eye-tracking experiment

Author:

Baltuttis DennikORCID,Teubner TimmORCID

Publisher

Elsevier BV

Reference141 articles.

1. Applying machine learning and natural language processing to detect phishing email;Alhogail;Comput Secur.,2021

2. Allianz. 2022. “Allianz Risk Barometer.” 2022. https://www.agcs.allianz.com/news-and-insights/reports/allianz-risk-barometer.html.

3. Why phishing still works: user strategies for combating phishing attacks;Alsharnouby;Int. J. Hum Comput. Stud,2015

4. Your memory is working against you: how eye tracking and memory explain habituation to security warnings;Anderson;Decis. Support Syst,2016

5. How users perceive and respond to security messages: a neuroIS research agenda and empirical study;Anderson;Eur. J. Inf. Syst,2016

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