SoK: Human-centered Phishing Susceptibility

Author:

Zhuo Sijie1ORCID,Biddle Robert2ORCID,Koh Yun Sing1ORCID,Lottridge Danielle1ORCID,Russello Giovanni1ORCID

Affiliation:

1. University of Auckland, Auckland, New Zealand

2. University of Auckland, Auckland, New Zealand and Carleton University, Ottawa, Canada

Abstract

Phishing is recognized as a serious threat to organizations and individuals. While there have been significant technical advances in blocking phishing attacks, end-users remain the last line of defence after phishing emails reach their email inboxes. Most of the existing literature on this subject has focused on the technical aspects related to phishing. The factors that cause humans to be susceptible to phishing attacks are still not well-understood. To fill this gap, we reviewed the available literature and systematically categorized the phishing susceptibility variables studied. We classify variables based on their temporal scope, which led us to propose a three-stage Phishing Susceptibility Model (PSM) for explaining how humans are vulnerable to phishing attacks. This model reveals several research gaps that need to be addressed to understand and improve protection against phishing susceptibility. Our review also systematizes existing studies by their sample size and generalizability and further suggests a practical impact assessment of the value of studying variables: Some more easily lead to improvements than others. We believe that this article can provide guidelines for future phishing susceptibility research to improve experiment design and the quality of findings.

Funder

Natural Sciences and Engineering Research Council of Canada

Publisher

Association for Computing Machinery (ACM)

Subject

Safety, Risk, Reliability and Quality,General Computer Science

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1. Investigation of Phishing Susceptibility with Explainable Artificial Intelligence;Future Internet;2024-01-17

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