Anne Wagner
ABSTRACT
For almost every online account, people are required to create a password to protect their information online. Since many people have many accounts, they tend to create insecure passwords and re-use passwords. These insecure passwords are often easy to guess, which can lead to compromised data. It is well-known that every person has a different personality type, which can be determined using personality models such as Big Five and True Colors. This research examines if there is a link between personality type and password security among a variety of participants in two groups of participants: SONA and MTurk. Each participant in both surveys answered questions based on password security and their personality type. Our results show that participants in the MTurk survey were more likely to choose a strong password and to exhibit better security behaviors and knowledge than participants in the SONA survey. This is mostly attributed to the age difference. However, the distribution of the results was similar for both MTurk and SONA. Future surveys on cybersecurity should include both types of demographics for a more generalizable result.
- M Buhrmester and T Kwang. 2011. Amazon’s Mechanical Turk: A new source of inexpensive, yet high-quality, data? on Psychological Science.Google Scholar
- Dropbox. 2017. zxcvbn. https://github.com/dropbox/zxcvbn.Google Scholar
- B W Gamblin, M P Winslow, B Lindsay, A W Newsom, and A Kehn. 2017. Comparing in-person, Sona, and Mechanical Turk measurements of three prejudice-relevant constructs. Current Psychology 36, 2 (2017), 217–224.Google ScholarCross Ref
- Margaret Gratian, Sruthi Bandi, Michel Cukier, Josiah Dykstra, and Amy Ginther. 2018. Correlating human traits and cyber security behavior intentions. http://www.sciencedirect.com/science/article/pii/S0167404817302523. Computers & Security 73(2018), 345 – 358. https://doi.org/10.1016/j.cose.2017.11.015Google ScholarCross Ref
- Tzipora Halevi, James Lewis, and Nasir Memon. 2013. A Pilot Study of Cyber Security and Privacy Related Behavior and Personality Traits. In Proceedings of the 22nd International Conference on World Wide Web (Rio de Janeiro, Brazil) (WWW ’13 Companion). Association for Computing Machinery, New York, NY, USA, 737–744. https://doi.org/10.1145/2487788.2488034Google ScholarDigital Library
- A. Maraj, M. V. Martin, M. Shane, and M. Mannan. 2019. On the null relationship between personality types and passwords. 2019 17th International Conference on Privacy, Security and Trust (PST) (2019).Google ScholarCross Ref
- A. McCormac, T. Zwaans, K. Parsons, D. Calic, M. Butavicius, and M. Pattinson. 2017. Individual differences and information security awareness. Computers in Human Behavior 69 (2017), 151–156.Google ScholarDigital Library
- G. Paolacci and J. Chandler. 2014. Inside the Turk: Understanding Mechanical Turk as a participant pool. Current directions in psychological science 23, 3 (2014), 184–188.Google Scholar
- [9] Amazon Mechanical Turk.Accessed 2021. https://www.mturk.com/.Google Scholar
- B. Zhang and S. Gearhart. 2020. Collecting Online Survey Data: A Comparison of Data Quality among a Commercial Panel & MTurk. Surv. Pract 13(2020).Google Scholar
Index Terms
- A Comparison of SONA and MTurk for Cybersecurity Surveys
Recommendations
Work experiences on MTurk
Amazon's Mechanical Turk (MTurk) is an online marketplace for work, where Requesters post Human Intelligence Tasks (HITs) for Workers to complete for varying compensation. Past research has focused on the quality and generalizability of social and ...
MTurk participants have substantially lower evaluative subjective well-being than other survey participants
AbstractAmazon's MTurk platform has become a popular site for obtaining relatively inexpensive and convenient adult samples for use in behavioral research. Concerns have been raised about selection issues, because MTurk workers chose to ...
Highlights- Amazon Mechanical Turk (MTurk) samples are frequently used in behavioral research.
An empirical study of mnemonic password creation tips
AbstractUsually, strong passwords tend to be hard to memorize, and easy-to-remember passwords tend to be predictable. User-created passwords are memorable but may be easily cracked. Is there any strategy that can help users choose a strong but ...
Comments