Quantifying Susceptibility to Spear Phishing in a High School Environment Using Signal Detection Theory

Proceedings of the Fourteenth International Symposium on Human Aspects of Information Security & Assurance (HAISA 2020)

10 Pages Posted: 7 Jul 2020 Last revised: 8 Jul 2020

See all articles by Ploy Unchit

Ploy Unchit

affiliation not provided to SSRN

Sanchari Das

George Mason University

Andrew Kim

Indiana University Bloomington

L. Jean Camp

Indiana University Bloomington - School of Informatics and Computing

Date Written: July 8, 2020

Abstract

Spear phishing is a deceptive attack that uses social engineering to obtain confidential information through targeted victimization. It is distinguished by its use of social cues and personalized information to target specific victims. Previous work on resilience to spear phishing has focused on convenience samples, with a disproportionate focus on students. In contrast, here, we report on an evaluation of a high school community. We engaged 57 high school students and faculty members (12 high school students, 45 staff members) as participants in research utilizing signal detection theory (SDT). Through scenario-based analysis, participants tasked with distinguishing phishing emails from authentic emails. The results revealed an overconfidence bias in self-detection from the participants, regardless of their technical background. These findings are critical for evaluating the decision making of underrepresented populations and protecting people from potential spear phishing attacks by examining human susceptibility.

Keywords: Phishing, Spear Phishing, High School, User Study, Usable Security

Suggested Citation

Unchit, Ploy and Das, Sanchari and Kim, Andrew and Camp, L. Jean, Quantifying Susceptibility to Spear Phishing in a High School Environment Using Signal Detection Theory (July 8, 2020). Proceedings of the Fourteenth International Symposium on Human Aspects of Information Security & Assurance (HAISA 2020), Available at SSRN: https://ssrn.com/abstract=3638604

Ploy Unchit

affiliation not provided to SSRN

Sanchari Das (Contact Author)

George Mason University ( email )

4400 University Drive
Fairfax, VA 22030
United States

Andrew Kim

Indiana University Bloomington ( email )

Dept of Biology
100 South Indiana Ave.
Bloomington, IN 47405
United States

L. Jean Camp

Indiana University Bloomington - School of Informatics and Computing ( email )

901 E 10th St
Bloomington, IN 47401
United States

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