‘Over Time Everyone’s Gonna Be Open to It’: User Attitudes Toward Security and Privacy in Continuous Authentication for Smart Homes

‘Over Time Everyone’s Gonna Be Open to It’: User Attitudes Toward Security and Privacy in Continuous Authentication for Smart Homes

Continuous authentication (CA), a user authentication approach that continuously verifies a person’s identity without requiring explicit input, is increasingly being deployed in smart homes to maintain security posture throughout user sessions. However, prior research has overlooked user...

Full description

Saved in:
Bibliographic Details
Main Authors: Heting Wang, Yu-Peng Chen, Dinank Bista, Rodrigo Calvo, Niriksha Regmi, Xuanpu Zhang, Tempestt Neal, Jaime Ruiz, Lisa Anthony
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Affinity diagramming
behavioral biometrics
continuous authentication
focus group study
qualitative analysis
security and privacy
Online Access:https://ieeexplore.ieee.org/document/11117540/
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Continuous authentication (CA), a user authentication approach that continuously verifies a person’s identity without requiring explicit input, is increasingly being deployed in smart homes to maintain security posture throughout user sessions. However, prior research has overlooked user attitudes toward the increased data collection and surveillance associated with CA in smart homes. To bridge this gap, we conducted a focus group study with 33 participants, using a design probe video to simulate various CA implementation scenarios in smart homes. We explored participants’ current authentication methods (e.g., passwords and physiological biometrics) and examined their perceptions of CA. Through affinity diagramming, we found that participants perceive smart-home CA as presenting privacy and security challenges yet possessing great potential for enhanced usability. Participants also envisioned CA systems that offer more granular permission controls over personal data. Our findings indicate the contextual dependencies in balancing usability with privacy and security concerns. Our contributions include a comprehensive empirical dataset featuring the design probe video, participant transcripts, and a conceptual model of users’ nuanced understanding. We provide design recommendations for smart home CA systems, emphasizing transparency as a bridging factor that connects user perceptions with design features related to technology, implementation flexibility, and user interface.
ISSN:2169-3536

Similar Items