Behavioural Biometrics: A Novel Approach to User Authentication in Information Systems Security

As information technology (IT) evolves, user authentication has shifted towards innovative approaches, with behavioural biometrics (BB) emerging as a leading contender. However, there are no studies that investigate the factors that shape user acceptance and trust in the biometric authentication systems. This dissertation employs a Systematic Literature Review (SLR) to investigate these focusing on behavioural biometrics. Past studies indicate that there is immense potential for BB as a robust authentication method to enhance user acceptance and trust. Therefore, this examination of the existing literature aims to provide a nuanced understanding of trust in IT and its intersection with BB. The outcomes of this study will inform the refinement of biometric technologies and provide crucial insights for practitioners, policymakers, and researchers, advancing secure and user-friendly digital authentication solutions in an ever-evolving technological landscape. By employing an SLR methodology, this research endeavours to bridge existing gaps. Based on a review of 88 articles, it is evident that the quality of data related to BB is often inconsistent, with inadequate quality assessment and poor reporting of detailed information. This study presents key reporting items to improve the transparency and comparability of future research on user authentication and adoption. It also emphasizes that user trust and acceptance of BB are poorly assessed and reported in both empirical and conceptual research, as well as across multiple industries. Additionally, it highlights common challenges faced by BB applications, including regulatory, technical, social, and research-related issues that need to be addressed for progress in the field.

Author

• Mulligan, Joshua

• Behavioural Biometrics
• Information Technology
• Trust
• Transparency
• Personalisation
• Privacy
• Security
• Big Data
• IOT

Identifier

hdl:10292/18163

OAI identifier oai:identifier

oai:openrepository.aut.ac.nz:10292/18163