Journal article
“Security begins at home”: Determinants of home computer and mobile device security behavior
Computers & Security, Vol.70, pp.376-391
2017
Abstract
Personal computing users are vulnerable to information security threats, as they must independently make decisions about how to protect themselves, often with little understanding of technology or its implications. However, personal computing users are under-represented in security research studies, especially for mobile device use. The study described in this paper addresses this research gap by evaluating data from 629 home computer and mobile device users to improve understanding of security behavior in both contexts. The research model extends protection motivation theory by including the roles of social influences and psychological ownership, and by including actual behavior. The model was separately tested with home computer users and mobile device users and data reveals that some of the determinants of security behavior differ between home computer and mobile device use. The results show that perceived vulnerability, self-efficacy, response cost, descriptive norm and psychological ownership all influenced personal computing security intentions and behavior for both home computer users and mobile device users. However, perceived severity was only found to play a role in mobile device security behavior and neither response efficacy nor subjective norm influenced security intentions for either type of user. These findings are discussed in terms of their practical and research implications as well as generating new research opportunities into personal computing security.
Details
- Title
- “Security begins at home”: Determinants of home computer and mobile device security behavior
- Authors/Creators
- N. Thompson (Author/Creator) - Curtin UniversityT.J. McGill (Author/Creator) - Murdoch UniversityX. Wang (Author/Creator) - Murdoch University
- Publication Details
- Computers & Security, Vol.70, pp.376-391
- Publisher
- Elsevier Limited
- Identifiers
- 991005542567207891
- Copyright
- © 2017 Elsevier Ltd.
- Murdoch Affiliation
- School of Engineering and Information Technology
- Language
- English
- Resource Type
- Journal article
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InCites Highlights
These are selected metrics from InCites Benchmarking & Analytics tool, related to this output
- Collaboration types
- Domestic collaboration
- Citation topics
- 4 Electrical Engineering, Electronics & Computer Science
- 4.187 Security Systems
- 4.187.1592 Cyber Defense
- Web Of Science research areas
- Computer Science, Information Systems
- ESI research areas
- Computer Science