Security and Usability of a Personalized User Authentication Paradigm: Insights from a Longitudinal Study with Three Healthcare Organizations

Author:

Constantinides Argyris1ORCID,Belk Marios2ORCID,Fidas Christos3ORCID,Beumers Roy4ORCID,Vidal David5ORCID,Huang Wanting6ORCID,Bowles Juliana7ORCID,Webber Thais7ORCID,Silvina Agastya7ORCID,Pitsillides Andreas8ORCID

Affiliation:

1. University of Cyprus and Cognitive UX LTD, Nicosia, Cyprus

2. University of Cyprus and Cognitive UX GmbH, Heidelberg, Germany

3. University of Patras, Achaia, Patras, Greece

4. Zuyderland Medical Center, Heerlen, Netherlands

5. Hospital Clinic Barcelona, Barcelona, Spain

6. Accenture B.V., Amsterdam, Netherlands

7. University of St. Andrews, United Kingdom

8. University of Cyprus and University of Johannesburg, Auckland Park, Johannesburg, South Africa

Abstract

This article proposes a user-adaptable and personalized authentication paradigm for healthcare organizations, which anticipates to seamlessly reflect patients’ episodic and autobiographical memories to graphical and textual passwords aiming to improve the security strength of user-selected passwords and provide a positive user experience. We report on a longitudinal study that spanned over 3 years in which three public European healthcare organizations participated to design and evaluate the aforementioned paradigm. Three studies were conducted ( n = 169) with different stakeholders: (1) a verification study aiming to identify existing authentication practices of the three healthcare organizations with diverse stakeholders ( n = 9), (2) a patient-centric feasibility study during which users interacted with the proposed authentication system ( n = 68), and (3) a human guessing attack study focusing on vulnerabilities among people sharing common experiences within location-aware images used for graphical passwords ( n = 92). Results revealed that the suggested paradigm scored high with regard to users’ likeability, perceived security, usability, and trust, but more importantly it assists the creation of more secure passwords. On the downside, the suggested paradigm introduces password guessing vulnerabilities by individuals sharing common experiences with the end users. Findings are expected to scaffold the design of more patient-centric knowledge-based authentication mechanisms within today's dynamic computation realms.

Funder

EU Horizon 2020

“Securing Medical Data in Smart Patient-Centric Healthcare Systems”

Research and Innovation Foundation

Publisher

Association for Computing Machinery (ACM)

Subject

Health Information Management,Health Informatics,Computer Science Applications,Biomedical Engineering,Information Systems,Medicine (miscellaneous),Software

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