Literature DB >> 30526089

Embedding Training Within Warnings Improves Skills of Identifying Phishing Webpages.

Aiping Xiong1, Robert W Proctor1, Weining Yang1, Ninghui Li1.   

Abstract

OBJECTIVE: Evaluate the effectiveness of training embedded within security warnings to identify phishing webpages.
BACKGROUND: More than 20 million malware and phishing warnings are shown to users of Google Safe Browsing every week. Substantial click-through rate is still evident, and a common issue reported is that users lack understanding of the warnings. Nevertheless, each warning provides an opportunity to train users about phishing and how to avoid phishing attacks.
METHOD: To test use of phishing-warning instances as opportunities to train users' phishing webpage detection skills, we conducted an online experiment contrasting the effectiveness of the current Chrome phishing warning with two training-embedded warning interfaces. The experiment consisted of three phases. In Phase 1, participants made login decisions on 10 webpages with the aid of warning. After a distracting task, participants made legitimacy judgments for 10 different login webpages without warnings in Phase 2. To test the long-term effect of the training, participants were invited back a week later to participate in Phase 3, which was conducted similarly as Phase 2.
RESULTS: Participants differentiated legitimate and fraudulent webpages better than chance. Performance was similar for all interfaces in Phase 1 for which the warning aid was present. However, training-embedded interfaces provided better protection than the Chrome phishing warning on both subsequent phases.
CONCLUSION: Embedded training is a complementary strategy to compensate for lack of phishing webpage detection skill when phishing warning is absent. APPLICATION: Potential applications include development of training-embedded warnings to enable security training at scale.

Entities:  

Keywords:  action on cybersecurity; cybersecurity; phishing; procedural knowledge; training

Mesh:

Year:  2018        PMID: 30526089     DOI: 10.1177/0018720818810942

Source DB:  PubMed          Journal:  Hum Factors        ISSN: 0018-7208            Impact factor:   2.888


  1 in total

1.  Informing, simulating experience, or both: A field experiment on phishing risks.

Authors:  Aurélien Baillon; Jeroen de Bruin; Aysil Emirmahmutoglu; Evelien van de Veer; Bram van Dijk
Journal:  PLoS One       Date:  2019-12-18       Impact factor: 3.240

  1 in total

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