  Despite widespread use of smartphones, there is no measurement standard
targeted at smartphone security behaviors. In this paper we translate a
well-known cybersecurity behavioral scale into the smartphone domain and show
that we can improve on this translation by following an established
psychometrics approach surveying 1011 participants. We design a new 14-item
Smartphone Security Behavioral Scale (SSBS) exhibiting high reliability and
good fit to a two-component behavioural model based on technical versus social
protection strategies. We then demonstrate how SSBS can be applied to measure
the influence of mental health issues on smartphone security behavior
intentions. We found significant correlations that predict SSBS profiles from
three types of MHIs. Conversely, we are able to predict presence of MHIs using
SSBS profiles.We obtain prediction AUCs of 72.1% for Internet addiction,75.8%
for depression and 66.2% for insomnia.
