Smart applications and monitoring systems across health systems are provided by the Internet of Things (IoTs), which connects devices and networks, and potentially deliver new technologies in this field. In order to establish an IoT-based healthcare system that protects patients' sensitive and personal information, it is imperative that security be ensured. It was our goal to identify the elements and ideas connected with the security needs of the Internet of Things in the healthcare sector. In the healthcare industry, a survey was done on the security needs of IoTs devices. Data from Web of Science, IEEE, Scopus, and PubMed has been searched since 2005. In addition, we adhered to international norms and recognized rules for cyberspace security. This paper presents an an analysis of the aspects and ideas relevant to the security needs of IoTs in a medical environment. Our research revealed two major categories of security needs: cyber resilience and cyber security. In the cyber security category, there are CIA (Confidentiality, Integrity and Availability) Triad and the non-CIA subcategories. Information security (Confidentiality, Integrity and Availability represented the CIA triad), performability, survivability, maintainability, safety, and reliability were listed as the primary elements for cyber resilience needs. The trustworthiness of Healthcare Internet of Things (HIoTs) relies on balancing traditional (cyber security) and unique (cyber resilience) needs.
Keywords
Internet of Things (IoTs), Healthcare Internet of Things (HIoTs), Electrocardiogram (ECG), Confidentiality, Integrity and
Availability (CIA)
B. Ouyang et al., “Initial development of the hybrid aerial underwater robotic system (HAUCS): Internet of things (IoT) for aquaculture farms,” IEEE Internet Things J., vol. 8, no. 18, pp. 14013–14027, 2021.
M. Raza et al., “Challenges and limitations of internet of things enabled healthcare in COVID-19,” IEEE Internet Things M., vol. 4, no. 3, pp. 60–65, 2021.
J. M. Kiel, “An analysis of the management and leadership roles of nurses relative to the health insurance portability and accountability act,” Health Care Manag. (Frederick), vol. 34, no. 1, pp. 75–80, 2015.
F. Tariq, M. Anwar, A. R. Janjua, M. H. Khan, A. U. Khan, and N. Javaid, “Blockchain in WSNs, VANets, IoTs and Healthcare: A Survey,” in Advances in Intelligent Systems and Computing, Cham: Springer International Publishing, 2020, pp. 267–279.
H. V. Puneeth and M. S. Ganesha Prasad, “Sustainable in-situ recycling and IoT-based monitoring system of water-soluble metal working fluids,” Sustain. Water Resour. Manag., vol. 8, no. 1, 2022.
A. Gupta, V. Gupta, M. Mittal, and V. Mittal, “An efficient AR modelling-based electrocardiogram signal analysis for health informatics,” Int. J. Med. Eng. Inform., vol. 14, no. 1, p. 74, 2022.
S. Romagnoli, I. Marcantoni, K. Campanella, A. Sbrollini, M. Morettini, and L. Burattini, “Ensemble empirical mode decomposition for efficient R-peak detection in electrocardiograms acquired by portable sensors during sport activity,” in 2021 IEEE International Symposium on Medical Measurements and Applications (MeMeA), 2021.
A. Al-Kababji, A. Amira, F. Bensaali, A. Jarouf, L. Shidqi, and H. Djelouat, “An IoT-based framework for remote fall monitoring,” Biomed. Signal Process. Control, vol. 67, no. 102532, p. 102532, 2021.
X. Li et al., “Roll-to-roll graphene films for non-disposable electrocardiogram electrodes,” J. Phys. D Appl. Phys., vol. 54, no. 36, p. 364003, 2021.
Savitha, “A unique secure multimodal biometrics-based user authenticated key exchange protocol for generic HIoT networks,” Int. j. emerg. trends eng. res., vol. 8, no. 5, pp. 1610–1619, 2020.
W. H. Grover, “CandyCodes: Simple universally unique edible identifiers for confirming the authenticity of pharmaceuticals,” bioRxiv, 2021.
I. Ahmed, G. Jeon, and F. Piccialli, “A deep-learning-based smart healthcare system for patient’s discomfort detection at the edge of internet of things,” IEEE Internet Things J., vol. 8, no. 13, pp. 10318–10326, 2021.
J. W. Wallace, L. C. Diamantides, K. C. Ki, and M. W. Butler, “Switched-antenna low-frequency (LF) radio-frequency identification (RFID) for ornithology,” IEEE j. radio freq. identif., vol. 4, no. 2, pp. 137–145, 2020.
Q. Guan, B. Xi, and C. Zhang, “Analysis of partial discharge spectrum based on ultra-high frequency detection method,” J. Phys. Conf. Ser., vol. 2030, no. 1, p. 012096, 2021.
J. K. Park, “Smart fire detector utilizing IoT-based ZigBee sensor,” Indones. j. electr. eng. comput. sci., vol. 21, no. 2, p. 1132, 2022.
C. Degen, “Inductive coupling for wireless power transfer and near-field communication,” EURASIP J. Wirel. Commun. Netw., vol. 2021, no. 1, 2021.
S. L. Suntu, N. H. Odongo, S. M. Chege, and O. K. Bishoge, “Robust secured roaming in wireless local area networks,” Int. j. wirel. netw. broadband technol., vol. 6, no. 2, pp. 26–42, 2017.
L. Pendrill et al., “Reducing search times and entropy in hospital emergency departments with real-time location systems,” IISE Trans. Healthc. Syst. Eng., pp. 1–11, 2021.
M. Khyzhniak and M. Malanowski, “Localization of an acoustic emission source based on time difference of arrival,” in 2021 Signal Processing Symposium (SPSympo), 2021.
H. Yuan, Y. Xia, and H. Yang, “Resilient state estimation of cyber-physical system with multichannel transmission under DoS attack,” IEEE Trans. Syst. Man Cybern. Syst., vol. 51, no. 11, pp. 6926–6937, 2021.
T. Frikha, A. Chaari, F. Chaabane, O. Cheikhrouhou, and A. Zaguia, “Healthcare and fitness data management using the IoT-based blockchain platform,” J. Healthc. Eng., vol. 2021, p. 9978863, 2021.
Acknowledgements
Authors thank Reviewers for taking the time and effort necessary to review the manuscript.
Funding
No funding was received to assist with the preparation of this manuscript.
Ethics declarations
Conflict of interest
The authors have no conflicts of interest to declare that are relevant to the content of this article.
Availability of data and materials
No data available for above study.
Author information
Contributions
All authors have equal contribution in the paper and all authors have read and agreed to the published version of the manuscript.
Corresponding author
Lu Jiang
Lu Jiang
School of Communication and Design, Sun Yat-sen University, Guangzhou, Haizhu District, China.
Open Access This article is licensed under a Creative Commons Attribution NoDerivs is a more restrictive license. It allows you to redistribute the material commercially or non-commercially but the user cannot make any changes whatsoever to the original, i.e. no derivatives of the original work. To view a copy of this license, visit https://creativecommons.org/licenses/by-nc-nd/4.0/
Cite this article
Lu Jiang, “IoT Sensors for Smart Health Devices and Data security in Healthcare”, Journal of Biomedical and Sustainable Healthcare Applications, vol.1, no.2, pp. 105-112, July 2021. doi: 10.53759/0088/JBSHA202101013.
