From: User characteristics that influence judgment of social engineering attacks in social networks
Factor | Sig. | Mean | Attitude | Hypothesis | Factor | Sig. | Mean | Attitude | Hypothesis |
---|---|---|---|---|---|---|---|---|---|
Per_T | .002 | 4.14 | Important | Alternative | Trust_M | .002 | 4.07 | Important | Alternative |
Age | .003 | 4.14 | Important | Alternative | Motivation | .055 | 3.57 | Important | Alternative |
Gender | .671 | 3.14 | Moderately important | Null | Risk | .003 | 4.00 | Important | Alternative |
Education | .000 | 4.57 | Very important | Alternative | Self_efficacy | .045 | 3.64 | Important | Alternative |
Comp_K | .000 | 4.50 | Very important | Alternative | Severity | .165 | 3.43 | Important | Null |
Culture | .000 | 4.14 | Important | Alternative | Liklihood | .045 | 3.64 | Important | Alternative |
No_frinds | .045 | 3.64 | Important | Alternative | Past_exp | .008 | 4.07 | Important | Alternative |
Frq_use | .045 | 3.64 | Important | Alternative | Priv_aware | .015 | 4.07 | Important | Alternative |
Trust_P | .009 | 3.93 | Important | Alternative | Sec_aware | .000 | 4.43 | Very important | Alternative |