Verified-Sender: Improving Safe Message Detection in SMiShing

SMS phishing poses a significant threat. Small mobile displays lack the sender’s address transparency. A signal nudge in the representation of a checkmark shield icon is proposed as a verified-sender cue to aid in the identification of safe messages. This experiment examines whether the presence of this nudge impacts users’ ability to distinguish between safe and malicious messages. Our findings suggest that the nudge significantly improved the accuracy of safe message detection by 10%, while the accuracy of malicious message detection remained unchanged. The nudge serves as a positive verified-sender cue that helps users confirm safe messages, but, on its own, does not help users reject phishing. Additionally, no detectable increase in perceived workload (NASA-TLX) was found. The implemented nudge does not function as a phishing defense. Instead, it helps users recognize legitimate messages as safe without any spillover resistance to malicious messages.

Authors

Institutions

Publication Details

Journal
Proceedings of the Human Factors and Ergonomics Society Annual Meeting
Published
2026-11-02
DOI
https://doi.org/10.1177/10711813261498750
Primary Topic
Spam and Phishing Detection
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Verified-Sender: Improving Safe Message Detection in SMiShing

Jeremiah D. Still, Benjamin G. Otto
4 links
Proceedings of the Human Factors and Ergonomics Society Annual Meeting
Spam and Phishing Detection
article

Verified-Sender: Improving Safe Message Detection in SMiShing

Jeremiah D. Still, Benjamin G. Otto
article en

Abstract

SMS phishing poses a significant threat. Small mobile displays lack the sender’s address transparency. A signal nudge in the representation of a checkmark shield icon is proposed as a verified-sender cue to aid in the identification of safe messages. This experiment examines whether the presence of this nudge impacts users’ ability to distinguish between safe and malicious messages. Our findings suggest that the nudge significantly improved the accuracy of safe message detection by 10%, while the accuracy of malicious message detection remained unchanged. The nudge serves as a positive verified-sender cue that helps users confirm safe messages, but, on its own, does not help users reject phishing. Additionally, no detectable increase in perceived workload (NASA-TLX) was found. The implemented nudge does not function as a phishing defense. Instead, it helps users recognize legitimate messages as safe without any spillover resistance to malicious messages.

Proceedings of the Human Factors and Ergonomics Society Annual Meeting
Old Dominion University (US)
Openalex Percentile: Top 10%
Spam and Phishing Detection
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon