Major
Computer Science
Anticipated Graduation Year
2021
Access Type
Open Access
Abstract
The goal of this research was to determine if there was any link between personality types and password usage. The SONA system and the Amazon Mechanical Turk was used to recruit users to participate in the research study. Each user’s personality was obtained through a survey. The survey asked users to enter a strong password. Passwords were scored from zero to four with zero being classified as “too guessable” and four being classified as “very unguessable.” A second aspect of this research was to determine if a targeted message, based on the personality, had an effect on password behavior.
Faculty Mentors & Instructors
Dr. Eric Chan-Tin, Assistant Professor of Computer Science, Department of Computer Science
Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 3.0 License.
Personality Types, Passwords, and Cybersecurity Nudges
The goal of this research was to determine if there was any link between personality types and password usage. The SONA system and the Amazon Mechanical Turk was used to recruit users to participate in the research study. Each user’s personality was obtained through a survey. The survey asked users to enter a strong password. Passwords were scored from zero to four with zero being classified as “too guessable” and four being classified as “very unguessable.” A second aspect of this research was to determine if a targeted message, based on the personality, had an effect on password behavior.