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Despite widespread use of smartphones, there is no measurement standardtargeted at smartphone security behaviors. In this paper we translate awell-known cybersecurity behavioral scale into the smartphone domain and showthat we can improve on this translation by following an establishedpsychometrics approach surveying 1011 participants. We design a new 14-itemSmartphone Security Behavioral Scale (SSBS) exhibiting high reliability andgood fit to a two-component behavioural model based on technical versus socialprotection strategies. We then demonstrate how SSBS can be applied to measurethe influence of mental health issues on smartphone security behaviorintentions. We found significant correlations that predict SSBS profiles fromthree types of MHIs. Conversely, we are able to predict presence of MHIs usingSSBS profiles.We obtain prediction AUCs of 72.1% for Internet addiction,75.8%for depression and 66.2% for insomnia.

Smartphone Security Behavioral Scale: A New Psychometric Measurement for Smartphone Security