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
- Bhavya Sathenapalli, Kali Charan Sabat, Unleashing entrepreneurial spirit: Driving innovation and growth in a rapidly changing world , The Scientific Temper: Vol. 16 No. 06 (2025): The Scientific Temper
- Syed Amin Jameel, Abdul Rahim Mohamed Shanavas, Deep-Ultranet: Diabetic Retinopathy Grading System Using Ultra-Widefield Retinal Images , The Scientific Temper: Vol. 16 No. 12 (2025): The Scientific Temper
- Bhoomika Singh, Defluoridation of Drinking Water in India , The Scientific Temper: Vol. 13 No. 01 (2022): The Scientific Temper
- Roopshree Banchode, Sai Pranathi Bhallamudi, S. P. Kanchana, Evaluation of the Quality of Commonly Used Edible Oils and The Effects of Frying , The Scientific Temper: Vol. 12 No. 1&2 (2021): The Scientific Temper
- Kanthalakshmi S, Nikitha M. S, Pradeepa G, Classification of weld defects using machine vision using convolutional neural network , The Scientific Temper: Vol. 14 No. 01 (2023): The Scientific Temper
- Nisha Rathore, Purnendu B. Acharjee, K. Thivyabrabha, Umadevi P, Anup Ingle, Davinder kumar, Researching brain-computer interfaces for enhancing communication and control in neurological disorders , The Scientific Temper: Vol. 14 No. 04 (2023): The Scientific Temper
- Archana Verma, Role of artificial intelligence in evaluating autism spectrum disorder , The Scientific Temper: Vol. 15 No. 02 (2024): The Scientific Temper
- G Vanitha, M Kasthuri, A robust feature selection approach for high-dimensional medical data classification using enhanced correlation attribute evaluation , The Scientific Temper: Vol. 16 No. 02 (2025): The Scientific Temper
- Kalyani K., Praveen Kumar T. D., Roopa A. N., AI-based tools for enhancing reflective practice and self-efficacy in pre-service teachers , The Scientific Temper: Vol. 16 No. 04 (2025): The Scientific Temper
- S. Jerinrechal, I. Antonitte Vinoline, A vendor-constrained economic production quantity model integrating scrap recovery under sustainability , The Scientific Temper: Vol. 16 No. 08 (2025): The Scientific Temper
<< < 47 48 49 50 51 52 53 54 55 56 > >>
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

