论文标题

智能手机安全行为量表:智能手机安全的新心理测量测量

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

论文作者

Huang, Hsiao-Ying, Demetriou, Soteris, Banerjee, Rini, Tuncay, Güliz Seray, Gunter, Carl A., Bashir, Masooda

论文摘要

尽管广泛使用智能手机,但仍未针对智能手机安全行为的测量标准。在本文中,我们将众所周知的网络安全行为量表转换为智能手机领域,并表明我们可以通过遵循既定的心理计量方法进行调查1011参与者来改进这种翻译。我们设计了一个新的14项智能手机安全行为量表(SSB),该行为量表(SSB)具有高度可靠性,并且非常适合基于技术和社会保护策略的两组式行为模型。然后,我们演示如何应用SSB来衡量心理健康问题对智能手机安全行为意图的影响。我们发现了显着的相关性,可以预测三种MHI类型的SSB概况。相反,我们能够使用SSBS概况预测MHI的存在。我们获得Internet成瘾的预测AUCS 72.1%,抑郁症的预测为75.8%,失眠为66.2%。

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.

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