effectiveness of and user preferences for security awareness training methodologies

Clicks: 170
ID: 151784
2019
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This article has not been analysed, so there is no overall score — reader engagement is measured and shown alongside.
AI Quality Assessment
Not analyzed
Readership in this journal
Steady

Ranked #27 of 29 articles by views in cognitive linguistics

Most read Least read

Bar heights use a square-root scale.

Mint this article as an NFT
Not yet minted

Create a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.

5 SUSD one-off · no wallet required
Abstract
Phishing is a primary vector used in cyber-attacks, and current technical measures are not sufficient to reduce their success to an acceptable level. Empowering users to identify phishing emails is crucial; thus, anti-phishing training is essential. We investigate participant phishing susceptibility in a 2 × 2 mixed factorial design to determine if instructor-led classroom training, in addition to a multiple approach video-, game-, and text-based training package, offers a significant difference in susceptibility reduction compared with the absence of classroom training. The results suggest an insignificant improvement in reducing phishing susceptibility by incorporating classroom training. Furthermore, we observe a significant preference from the participants for one training method (i.e., classroom training) only if a decision for one particular method was required.
Reference Key
tschakert2019heliyoneffectiveness Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors ;Kai Florian Tschakert;Sudsanguan Ngamsuriyaroj
Journal cognitive linguistics
Year 2019
DOI
DOI not found
URL
Keywords

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

No comments yet. Be the first to comment on this article.