C, Vinola. and Premi, Godwin and Solainayagi, P. and Srinivasan, C. and Kuppusamy, P.G. (2023) Data Privacy and Confidentiality in Healthcare Applications of IoT-Enabled Wireless Sensor Networks. In: UNSPECIFIED.
Full text not available from this repository.Abstract
In this paper, a comprehensive framework for protecting sensitive healthcare information in Internet of Things (IoT)-enabled Wireless Sensor Network (WSN) is presented. Sensitive medical data is protected by the proposed architecture's usage of secure data transmission protocols, encryption, access control, and authentication. It also looks at how the General Data Protection Regulation (GDPR) and other data privacy regulations might affect IoT-enabled healthcare infrastructure. The study results indicate a need for more privacy and security education and implementation throughout the healthcare, technology, government, and user communities. The need of teaching healthcare professionals and patients about the dangers of sharing personal information online and the importance of managing data ethically is discussed. New loopholes and dangers can only be patched if security is regularly assessed, audited, and improved. This research paper sheds light on the problems of privacy and confidentiality in WSN healthcare applications enabled by the Internet of Things. The effort aims to safeguard and defend healthcare IoT adoption and enhance patient care by offering a complete framework that emphasizes regulatory compliance and appropriate data management. © 2024 Elsevier B.V., All rights reserved.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Subjects: | |
| Divisions: | Arts and Science > School of Arts and Science, Chennai > Computer Science |
| Depositing User: | Unnamed user with email techsupport@mosys.org |
| Last Modified: | 01 Dec 2025 05:30 |
| URI: | https://vmuir.mosys.org/id/eprint/2472 |
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