Abstract
Previous studies show that information security breaches and privacy violations are important issues for organisations and people. It is acknowledged that decreasing the risk in this domain requires consideration of the technological aspects of information security alongside human aspects. Employees intentionally or unintentionally account for a significant portion of the threats to information assets in organisations. This research presents a novel conceptual framework to mitigate the risk of insiders using deterrence and prevention approaches. Deterrence factors discourage employees from engaging in information security misbehaviour in organisations, and situational crime prevention factors encourage them to prevent information security misconduct. Our findings show that perceived sanctions certainty and severity significantly influence individuals’ attitudes and deter them from information security misconduct. In addition, the output revealed that increasing the effort, risk and reducing the reward (benefits of crime) influence the employees’ attitudes towards prevent information security misbehaviour. However, removing excuses and reducing provocations do not significantly influence individuals’ attitudes towards prevent information security misconduct. Finally, the output of the data analysis also showed that subjective norms, perceived behavioural control and attitude influence individuals’ intentions, and, ultimately, their behaviour towards avoiding information security misbehaviour.
DOI
10.1016/j.future.2019.03.024
Publication Date
2019-08-01
Publication Title
Future Generation Computer Systems
ISSN
0167-739X
Embargo Period
2020-03-11
Organisational Unit
School of Engineering, Computing and Mathematics
Recommended Citation
Safa, N., Maple, C., Furnell, S., Azad, M., Perera, C., & Dabbagh, M. (2019) 'Deterrence and Prevention-based Model to Mitigate Information Security Insider Threats in Organisations', Future Generation Computer Systems, . Available at: https://doi.org/10.1016/j.future.2019.03.024
