As mobile devices become increasingly integral to daily life, the need for robust security measures has intensified. Continuous user authentication (CUA) is an emerging paradigm designed to enhance security by verifying user identity throughout device usage, rather than solely at login. This study aims to explore user perceptions, experiences, and preferences concerning CUA methods, such as biometric scans (e.g., fingerprints, facial recognition) and behavioral analytics (e.g., typing patterns, swipe gestures). We will investigate the importance users place on continuous authentication for safeguarding personal data, as well as the usability challenges they encounter. Specifically, we will delve into how users perceive the reliability and accuracy of biometric and behavioral authentication methods, considering factors such as the perceived invasiveness of biometric scans and concerns about data privacy. Additionally, we will examine how perceptions and preferences for CUA vary across different age groups, as younger generations may be more accustomed to biometric authentication and less concerned about privacy implications, while older generations may have different preferences and concerns. The findings of this study will provide insights into user trust, privacy concerns, and the overall effectiveness of CUA in improving mobile security. By understanding user attitudes, this research seeks to inform the development of more intuitive and secure authentication solutions that align with user needs and expectations across various demographics.
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Clap On, Clap Off: Usability of Authentication Methods in the Smart Home
Despite rapid advancements in authentication technologies, little user testing has been conducted on the various authentication methods proposed for smart homes. Users’ preferences about authentication methods may be affected by their beliefs in the reliability of the method, the type and location of devices for which they must authenticate, the effort required for successful authentication, and more. In this paper, we provide insight into users’ concerns with these methods through a 46-participant user study. In particular, we seek to understand users’ preferences towards different authentication methods in terms of the perceived security and usability implications of each method.
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- Award ID(s):
- 1756011
- PAR ID:
- 10095908
- Date Published:
- Journal Name:
- Proceedings of the Interactive Workshop on the Human Aspect of Smarthome Security and Privacy
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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