Table 1.
Characteristics of email used in the phishing detection task.
Fig 1.
A sample genuine item from the phishing detection task.
Fig 2.
A sample phishing email item from the phishing detection task.
Table 2.
Metrics used in the phishing detection task.
Table 3.
Descriptive statistics and reliability estimates of other variables.
Fig 3.
Network plot of correlations between all 40 email items.
Q1-20 are phishing email while Q21-40 are genuine email. Correlations stronger than |.3| are shown. Red diamonds represent phishing email whilst black triangles represent genuine email.
Table 4.
Correlations between phishing susceptibility and individual difference measures.
Fig 4.
List of information sought after by participants when seeking more information on the PDT.
Table 5.
Correlations between variables used in regression models.
Table 6.
Results of sequential regression models predicting phishing and genuine maliciousness perception and detection accuracy.
Table 7.
Characteristics of most successful phishing email and least successful genuine email.