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metadata language: English

Real or bogus: Predicting susceptibility to phishing with economic experiments

Resource Type
Dataset : experimental data
  • Chen, Yan (University of Michigan, School of Information)
Publication Date
Funding Reference
  • University of Michigan
Free Keywords
Controlled Field Experiment; phishing; economic game; vulerability; risk aversion; trust
  • Abstract

    We present a lab-in-the-field experiment to demonstrate how individual behavior in the lab predicts their ability to identify phishing attempts. Using the business and finance staff members from a large public university in the U.S., we find that participants who are intolerant of risk, more curious, and less trusting commit significantly more errors when evaluating interfaces. We also replicate prior results on demographic correlates of phishing vulnerability, including age, gender, and education level. Our results suggest that behavioral characteristics such as risk attitude, curiosity, and trust can be used to predict individual ability to identify phishing interfaces.
  • Technical Information

    Response Rates: Out of the 3,190 B&F staff members, 1,201 participate in both the security quiz designed by the researchers and the security education module designed by the IIA staff. Of these, 811 staff members also participate in our economic experiment. Participants take on average 10 minutes and 2 seconds (s.d. = 6.15 minutes) to finish all the components, with average earnings of $17.04 (s.d. = 6.04) from the economic games.
Temporal Coverage
  • 2016-04-14 / 2016-05-14
    Time Period: Thu Apr 14 00:00:00 EDT 2016--Sat May 14 00:00:00 EDT 2016
  • 2016-04-14 / 2016-05-14
    Collection Date(s): Thu Apr 14 00:00:00 EDT 2016--Sat May 14 00:00:00 EDT 2016
Geographic Coverage
  • Ann Arbor, Michigan
Sampled Universe
Business and Finance Staff at the University of Michigan
To conduct our study, we partner with the Office of Information Security Assurance (IIA) at the University of Michigan in their development of a phishing education module for the B&F staff. Before launching the study, the Chief Financial Officer of the university sends an email announcement to the B&F supervisors and staff, respectively, encouraging them to participate in the education module and research study.
Collection Mode

Update Metadata: 2018-01-24 | Issue Number: 1 | Registration Date: 2018-01-24

Chen, Yan (2018): Real or bogus: Predicting susceptibility to phishing with economic experiments. Version: 1. ICPSR - Interuniversity Consortium for Political and Social Research. Dataset.