Security awareness of end-users of mobile health applications : An empirical study

Aljedaani, Bakheet and Ahmad, Aakash and Zahedi, Mansooreh and Ali Babar, M. (2020) Security awareness of end-users of mobile health applications : An empirical study. In: Proceedings of the 17th EAI International Conference on Mobile and Ubiquitous Systems : Computing, Networking and Services, MobiQuitous 2020. ACM International Conference Proceeding Series . The Association for Computing Machinery, DEU, pp. 125-136. ISBN 9781450388405

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Abstract

Mobile systems offer portable and interactive computing - empowering users - to exploit a multitude of context-sensitive services, including mobile healthcare. Mobile health applications (i.e., mHealth apps) are revolutionizing the healthcare sector by enabling stakeholders to produce and consume healthcare services. A widespread adoption of mHealth technologies and rapid increase in mHealth apps entail a critical challenge, i.e., lack of security awareness by end-users regarding health-critical data. This paper presents an empirical study aimed at exploring the security awareness of end-users of mHealth apps. We collaborated with two mHealth providers in Saudi Arabia to gather data from 101 end-users. The results reveal that despite having the required knowledge, end-users lack appropriate behaviour, i.e., reluctance or lack of understanding to adopt security practices that compromise health-critical data with social, legal, and financial consequences. The results emphasize that mHealth providers should ensure security training of endusers (e.g., threat analysis workshops), promote best practices to enforce security (e.g., multi-step authentication), and adopt suitable mHealth apps (e.g., trade-offs between security vs usability). The study provides empirical evidence and a set of guidelines about security awareness of mHealth apps.

Item Type:
Contribution in Book/Report/Proceedings
Additional Information:
Publisher Copyright: © 2020 ACM.
Uncontrolled Keywords:
/dk/atira/pure/subjectarea/asjc/1700/1712
Subjects:
?? empirical software engineeringmobile healthcaremobile systems and applicationssoftware engineering for mobile computingsoftwarehuman-computer interactioncomputer vision and pattern recognitioncomputer networks and communications ??
ID Code:
225588
Deposited By:
Deposited On:
16 Dec 2024 10:00
Refereed?:
Yes
Published?:
Published
Last Modified:
16 Dec 2024 10:00