What is this URL's Destination? Empirical Evaluation of Users' URL Reading
Generated by DALL·E via ChatGPTAbstract
Common anti-phishing advice tells users to mouse over links, look at the URL, and compare to the expected destination, implicitly assuming that they are able to read the URL. To test this assumption, we conducted a survey with 1929 participants recruited from the Amazon Mechanical Turk and Prolific Academic platforms. Participants were shown 23 URLs with various URL structures. For each URL, participants were asked via a multiple choice question where the URL would lead and how safe they feel clicking on it would be. Using latent class analysis, participants were stratified by self-reported technology use. Participants were strongly biased towards answering that the URL would lead to the website of the organization whose name appeared in the URL, regardless of its position in the URL structure. The group with the highest technology use was only minorly better at URL reading.
Type
Publication
In Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems

Authors
Kami Vaniea
(she/her)
Associate Professor
I am an Associate Professor at the University of Waterloo’s Department of Electrical and Computer Engineering (ECE) where I head the Technology Usability Lab in Privacy and Security (TULiPS). The goal of my research is to make security and privacy technologies more accessible for a wide range of users including end users, developers, and system administrators. I believe that technology should support people in their activities. My recent projects include topics like patch management, developer-centered privacy, phishing, online anonymity, smart speaker privacy, and privacy on social media.