Research on Securing and Transforming Healthcare System: IoT-Driven E-Health Monitoring Systems

DOI

10.2991/978-94-6463-471-6_4How to use a DOI?

Keywords

E-Health Monitoring Systems; Internet of Things; Health Data; Real-Time Security; Secure Data Storage

Abstract

The growth of smart e-health monitoring systems is driven by the rise of the Internet of Things (IoT), transforming healthcare. This evolution relies on real-time updates for patients and stakeholders, as IoT devices generate substantial data. This technology plays a crucial role in modern healthcare monitoring, with various systems emerging to securely track health data. Health data is di- vided into structured and unstructured formats, with structured data adhering to standards and unstructured data being more varied, encompassing elements like emails and media content. To effectively utilize data from these devices in real-time applications, meeting rigorous security requirements is essential. Storing data in a secure environment is crucial, as the volume of data generated by IoT is substantial and requires specialized tools for analysis. The primary goal is to establish an intelligent system for e-health monitoring. This system collects medical data from multiple sensors, filters relevant information about a patient's current state, and integrates their health status. Additionally, the proposed system outlines a secure platform for sharing e-health information and authenticated architecture nodes within the IoT network. Ensuring the security of data generated by IoT devices is crucial for real-time applications. Storing data in a secure environment is essential due to the large volume of data, necessitating specialized tools for processing. The main objective is to create an intelligent e-health monitoring system that collects medical data from multiple sensors, filters relevant patient information, integrates health status, and facilitates secure sharing within the IoT network.

Copyright

© 2024 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Md. Kamruzzaman
AU  - Nisha Sain
AU  - Shamsul Alam
PY  - 2024
DA  - 2024/07/30
TI  - Research on Securing and Transforming Healthcare System: IoT-Driven E-Health Monitoring Systems
BT  - Proceedings of the International Conference on Computational Innovations and Emerging Trends (ICCIET- 2024)
PB  - Atlantis Press
SP  - 30
EP  - 42
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-471-6_4
DO  - 10.2991/978-94-6463-471-6_4
ID  - Kamruzzaman2024
ER  -