Navigating the landscape: Safeguarding privacy and security in the era of ambient intelligence within healthcare settings

Almomani, A, Vats, Tarun, Kumar, Sudhakar, Singh, Sunil K., Madan, Uday, Preet, Mehak, Arya, Varsha and Bansal, Ritika (2024) Navigating the landscape: Safeguarding privacy and security in the era of ambient intelligence within healthcare settings. Cyber Security and Applications, 2. p. 100046. ISSN 2772-9184

[thumbnail of pii/S2772918424000122] Text
pii/S2772918424000122 - Published Version

Download (2kB)

Abstract

Ambient intelligence technologies have the potential to transform healthcare by providing personalized, context-aware, and proactive support for patients and healthcare providers. However, the use of these technologies in healthcare settings raises important privacy and security concerns that must be addressed to ensure patient trust and acceptance. This paper explores the privacy and security considerations related to the utilization of ambient intelligence in healthcare, aiming to address the associated risks and establish a robust security infrastructure. By reviewing the inherent privacy and security risks in healthcare settings employing ambient intelligence, discussing the ethical and legal considerations, and proposing mitigation strategies, the focus is on ensuring patient trust and acceptance.The architecture that is being presented is a comprehensive one with interconnected layers that guarantees data confidentiality, integrity, and privacy in the ambient intelligence healthcare system. This protects sensitive data and maintains its continuous availability. This research helps to establish a safe environment that supports the transformational potential of ambient intelligence in healthcare while putting patient privacy and data protection first by thoroughly addressing privacy and security concerns.

Affiliation: Skyline University College
SUC Author(s): Almomani, A ORCID: https://orcid.org/0000-0002-8808-6114
All Author(s): Almomani, A, Vats, Tarun, Kumar, Sudhakar, Singh, Sunil K., Madan, Uday, Preet, Mehak, Arya, Varsha and Bansal, Ritika
Item Type: Article
Uncontrolled Keywords: Ambient intelligence, healthcare, security, privacy
Subjects: A Business and Management > AK Health care and delivery
B Information Technology > BM Artificial Intelligence
Divisions: Skyline University College > School of IT
Depositing User: Mr Mosys Team
Date Deposited: 25 Apr 2024 14:54
Last Modified: 25 Apr 2024 14:54
URI: https://research.skylineuniversity.ac.ae/id/eprint/848
Publisher URL: https://doi.org/10.1016/j.csa.2024.100046
Publisher OA policy:
Related URLs:

    Actions (login required)

    View Item
    View Item
    Statistics for SkyRep ePrint 848 Statistics for this ePrint Item