Scaling the Phish: Advancing the NIST Phish Scale

Published

July 3, 2021

Author(s)

Fernando Barrientos, Jody Jacobs, Shanee Dawkins

Abstract

Organizations use phishing training exercises to help employees defend against the phishing threats that get through automatic email filters, reducing potential compromise of information security for both the individual and their organization. These exercises use fake and realistic phishing emails to test employees' ability to detect the phish, resulting in click rates which the organization can then use to address and inform their cybersecurity training programs. However, click rates alone are unable to provide a holistic picture of why employees do or do not fall for phish emails. To this end, the National Institute of Standards and Technology (NIST) created the Phish Scale methodology for determining how difficult a phishing email is to detect (Greene et. al. 2019). Recent research on the Phish Scale has focused on improving the robustness of the method. This paper presents initial results of the ongoing developments of the Phish Scale, including work towards the repeatability and validity of the Phish Scale using operational phishing training exercise data. Also highlighted are the ongoing efforts to minimize the ambiguities and subjectivity of the Phish Scale, as well as the design of a study aimed at gauging the usability of the scale via testing with phishing exercise training implementers.

Proceedings Title

HCI International 2021 - Posters

Volume

1420

Conference Dates

July 24-29, 2021

Conference Location

Washington, DC, US

Conference Title

Human Computer Interaction International 2021

Pub Type

Conferences

Download Paper

https://doi.org/10.1007/978-3-030-78642-7_52

Local Download

Keywords

Usable Cybersecurity, Cybersecurity Awareness Training, Phishing, NIST Phish Scale

Citation

Barrientos, F. , Jacobs, J. and Dawkins, S. (2021), Scaling the Phish: Advancing the NIST Phish Scale, HCI International 2021 - Posters, Washington, DC, US, [online], https://doi.org/10.1007/978-3-030-78642-7_52, https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=932167 (Accessed April 19, 2024)