A Taxonomy on Smart Healthcare Technologies: Security Framework, Case Study, and Future Directions
Journal of Sensors
; 2022, 2022.
Article
in English
| ProQuest Central | ID: covidwho-1950369
ABSTRACT
There is a massive transformation in the traditional healthcare system from the specialist-centric approach to the patient-centric approach by adopting modern and intelligent healthcare solutions to build a smart healthcare system. It permits patients to directly share their medical data with the specialist for remote diagnosis without any human intervention. Furthermore, the remote monitoring of patients utilizing wearable sensors, Internet of Things (IoT) technologies, and artificial intelligence (AI) has made the treatment readily accessible and affordable. However, the advancement also brings several security and privacy concerns that poorly maneuvered the effective performance of the smart healthcare system. An attacker can exploit the IoT infrastructure, perform an adversarial attack on AI models, and proliferate resource starvation attacks in smart healthcare system. To overcome the aforementioned issues, in this survey, we extensively reviewed and created a comprehensive taxonomy of various smart healthcare technologies such as wearable devices, digital healthcare, and body area networks (BANs), along with their security aspects and solutions for the smart healthcare system. Moreover, we propose an AI-based architecture with the 6G network interface to secure the data exchange between patients and medical practitioners. We have examined our proposed architecture with the case study based on the COVID-19 pandemic by adopting unmanned aerial vehicles (UAVs) for data exchange. The performance of the proposed architecture is evaluated using various machine learning (ML) classification algorithms such as random forest (RF), naive Bayes (NB), logistic regression (LR), linear discriminant analysis (LDA), and perceptron. The RF classification algorithm outperforms the conventional algorithms in terms of accuracy, i.e., 98%. Finally, we present open issues and research challenges associated with smart healthcare technologies.
Computers--Automation; Body area networks; Internet of Things; Classification; Data exchange; Computer architecture; Health care; Telemedicine; Unmanned aerial vehicles; Security aspects; Sensors; Wearable technology; Remote monitoring; Taxonomy; Remote sensors; Algorithms; Discriminant analysis; Privacy; Machine learning; Artificial intelligence; Health care industry
Full text:
Available
Collection:
Databases of international organizations
Database:
ProQuest Central
Type of study:
Case report
Language:
English
Journal:
Journal of Sensors
Year:
2022
Document Type:
Article
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