Papers
Topics
Authors
Recent
2000 character limit reached

Preliminary Results from a U.S. Demographic Analysis of SMiSh Susceptibility (2309.06322v1)

Published 12 Sep 2023 in cs.HC, cs.CR, cs.CY, and cs.SI

Abstract: As adoption of mobile phones has skyrocketed, so have scams involving them. The text method is called SMiShing, (aka SMShing, or smishing) in which a fraudster sends a phishing link via Short Message Service (SMS) text to a phone. However, no data exists on who is most vulnerable to SMiShing. Prior work in phishing (its e-mail cousin) indicates that this is likely to vary by demographic and contextual factors. In our study, we collect this data from N=1007 U.S. adult mobile phone users. Younger people and college students emerge in this sample as the most vulnerable. Participants struggled to correctly identify legitimate messages and were easily misled when they knew they had an account with the faked message entity. Counterintuitively, participants with higher levels of security training and awareness were less correct in rating possible SMiSH. We recommend next steps for researchers, regulators and telecom providers.

Citations (1)

Summary

We haven't generated a summary for this paper yet.

Slide Deck Streamline Icon: https://streamlinehq.com

Whiteboard

Dice Question Streamline Icon: https://streamlinehq.com

Open Problems

We haven't generated a list of open problems mentioned in this paper yet.

Lightbulb Streamline Icon: https://streamlinehq.com

Continue Learning

We haven't generated follow-up questions for this paper yet.

List To Do Tasks Checklist Streamline Icon: https://streamlinehq.com

Collections

Sign up for free to add this paper to one or more collections.