Presentation
Examining the Effectiveness of Speech and Earcon Alerts for Aiding Phishing Email Detection
SessionCYB1: Cyber Deception
DescriptionAs technology advances, phishing attacks grow more vicious, leading to 3.4 billion phishing emails daily and costing victims $52 million annually. Anti-phishing research primarily focuses on visual cues like domain names and contents, leaving visually impaired individuals particularly vulnerable. Recent studies suggest incorporating auditory alerts to enhance the detection of phishing threats. As a first step toward phishing alert inclusivity, the current study examines the effectiveness of two types of audio alerts on individuals with normal or corrected-to-normal vision. Participants were randomly assigned to three alert conditions: control, earcon, and speech alert. Each participant went through 20 emails to indicate whether each email was legitimate. The results showed that participants in both alert groups spent less time on each email than the control. Additionally, participants in the earcon condition made more liberal decisions than those in the control condition. These results can inform future development of auditory alerts for phishing.
Contributors
Assistant Professor
Graduate Student
Event Type
Lecture
TimeTuesday, September 10th9:45am - 10am MST
LocationFLW Salon I
Cybersecurity