An efficient key establishment for pervasive healthcare monitoring
Downloads
Published
DOI:
https://doi.org/10.58414/SCIENTIFICTEMPER.2024.15.spl.28Keywords:
Authentication, Cryptanalysis, Secure healthcare systems, Healthcare data security, Key establishment, Security, IoT, Machine learning.Dimensions Badge
Issue
Section
License
Copyright (c) 2024 The Scientific Temper

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Health is one of the issues that present more challenges in the world. These challenges not only come from the requirements of the region itself yet in addition result from outside conditions that impact individuals’ health conditions and access to therapeutic administrations. To augment the security strength of real-time healthcare applications in the IoT environment, a novel framework, namely, an Enhanced and IoT-based medical healthcare security scheme (EIMSS), has been proposed in this chapter. The proposed EIMSS adapts the AUP authentication technique proposed in the previous chapter for authentication while transferring the patient’s data. The proposed EIMSS approach offers flexible services to aged people like confidentiality, integrity, and authentication for protecting their vital biological and medical data. The simulation results, analysis and comparison confirm that the proposed EIMSS outperforms existing protocols with improved security strength.Abstract
How to Cite
Downloads
Similar Articles
- Desai Vishesh, Ritesh Patel, Assessing the influence of tax refunds and incentives on personal tax Reporting: A qualitative perspective , The Scientific Temper: Vol. 16 No. 03 (2025): The Scientific Temper
- R. Selvakumar, A. Manimaran, Janani G, K.R. Shanthy, Design and development of artificial intelligence assisted railway gate controlling system using internet of things , The Scientific Temper: Vol. 14 No. 04 (2023): The Scientific Temper
- Mansi Harjivan Chauhan, Divyang D. Vyas, Advancements in sentiment analysis – A comprehensive review of recent techniques and challenges , The Scientific Temper: Vol. 16 No. Spl-1 (2025): The Scientific Temper
- Suprabha Amit Kshatriya, Jaymin K Bhalani, Fire and smoke detection with high accuracy using YOLOv5 , The Scientific Temper: Vol. 16 No. 06 (2025): The Scientific Temper
- J. Fathima Fouzia, M. Mohamed Surputheen, M. Rajakumar, A Unified Consistency-Calibrated Boundary-Aware Framework for Generalizable Skin Cancer Detection , The Scientific Temper: Vol. 16 No. 12 (2025): The Scientific Temper
- NITHYA R, shruthi D, Sindhuja S, Sneha S, Challenges encountered by health care professionals in monitoring adverse events due to medical devices: A review , The Scientific Temper: Vol. 14 No. 02 (2023): The Scientific Temper
- Mufeeda V. K., R. Suganya, Novel deep learning assisted plant leaf classification system using optimized threshold-based CNN , The Scientific Temper: Vol. 15 No. 03 (2024): The Scientific Temper
- A. Jabeen, AR Mohamed Shanavas, Bradley Terry Brownboost and Lemke flower pollinated resource efficient task scheduling in cloud computing , The Scientific Temper: Vol. 16 No. 05 (2025): The Scientific Temper
- Nithya R, Kokilavani T, Joseph Charles P, Multi-objective nature inspired hybrid optimization algorithm to improve prediction accuracy on imbalance medical datasets , The Scientific Temper: Vol. 15 No. 03 (2024): The Scientific Temper
- Jayalakshmi K., M. Prabakaran, Feature selection in HR analytics: A hybrid optimization approach with PSO and GSO , The Scientific Temper: Vol. 15 No. spl-1 (2024): The Scientific Temper
<< < 17 18 19 20 21 22 23 24 25 26 > >>
You may also start an advanced similarity search for this article.
Most read articles by the same author(s)
- Mufeeda V. K., R. Suganya, Novel deep learning assisted plant leaf classification system using optimized threshold-based CNN , The Scientific Temper: Vol. 15 No. 03 (2024): The Scientific Temper
- Remya Raj B., R. Suganya, A novel and an effective intrusion detection system using machine learning techniques , The Scientific Temper: Vol. 15 No. 03 (2024): The Scientific Temper

