Towards Smart Healthcare: Patient Data Privacy and Security in Sensor‐Cloud Infrastructure
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Nowadays, wireless body area networks (WBANs) systems have adopted cloud computing (CC) technology to overcome limitations such as power, storage, scalability, management, and computing. This amalgamation of WBANs systems and CC technology, as sensor‐cloud infrastructure (S‐CI), is aiding the healthcare domain through real‐time monitoring of patients and the early diagnosis of diseases. Hence, the distributed environment of S‐CI presents new threats to patient data privacy and security. In this paper, we review the techniques for patient data privacy and security in S‐CI. Existing techniques are classified as multibiometric key generation, pairwise key establishment, hash function, attribute‐based encryption, chaotic maps, hybrid encryption, Number Theory Research Unit, Tri‐Mode Algorithm, Dynamic Probability Packet Marking, and Priority‐Based Data Forwarding techniques, according to their application areas. Their pros and cons are presented in chronological order. We also provide our six‐step generic framework for patient physiological parameters (PPPs) privacy and security in S‐CI: (1) selecting the preliminaries; (2) selecting the system entities; (3) selecting the technique; (4) accessing PPPs; (5) analysing the security; and (6) estimating performance. Meanwhile, we identify and discuss PPPs utilized as datasets and provide the performance evolution of this research area. Finally, we conclude with the open challenges and future directions for this flourishing research area.
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MedRec is the first and only functioning prototype proposed for electronic medical record management on blockchain.
“Azaria et al. [30] until now MedRec functioning prototype is the first and only prototype has been proposed.”
From EACMS: Emergency Access Control Management System for Personal Health Record Based on Blockchain (2019) · cites this paper as [30]
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EACMS: Emergency Access Control Management System for Personal Health Record Based on Blockchain
Rajput, A. R., Li, Q., Taleby Ahvanooey, M., & Masood, I. (2019) · IEEE Access · doi:10.1109/access.2019.2917976 · Cited by 166 · see citing works
Self-citation
- Authors
- Masood, I., Wang, Y., Daud, A., Aljohani, N. R., & Dawood, H.
- Affiliations
- Nanjing University of Science and Technology (CN)
- International Islamic University, Islamabad (PK)
- King Abdulaziz University (SA)
- Corresponding author
- Masood, Isma
- Venue
- Wireless Communications and Mobile Computing
- Publisher
- Wiley
- Published
- 2018-01
- Volume
- 2018
- Issue
- 1
- ISSN
- 1530-8669 (ISSN-L)
- 1530-8677
- OpenAlex
- W2898990541
- Cited by
- 78
- References
- 68
- Citations by year
- 2026: 3 · 2025: 11 · 2024: 21 · 2023: 8 · 2022: 10 · 2021: 17 · 2020: 5 · 2019: 3
- FWCI
- 2.50
- Type
- journal article
- Language
- en
- Update notices
- corrigendum (2019-11-21)
- Open access
- hybrid
- doi.org
- Locations
- Wireless Communications and Mobile Computing (publishedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
- Funders
- National Natural Science Foundation of China (61170035, 61272420, 81674099)
- Topics
- Physical Sciences › Engineering › Biomedical Engineering › Wireless Body Area Networks
- Physical Sciences › Computer Science › Information Systems › Cloud Data Security Solutions
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Wireless Communication Security Techniques
- Keywords
- smart healthcare, patient data privacy, wireless body area networks, cloud computing, attribute-based encryption, chaotic maps, hybrid encryption, pairwise key establishment, hash functions
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