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
- James L T Thanga, Ashley Lalremruati, Agent’s roles and perspectives of life insurance market in North-East India , The Scientific Temper: Vol. 15 No. 03 (2024): The Scientific Temper
- Vishnu Prasad C, Ramaprabha D, An assessment of growth indicators and intricacies of Udyam entities in the post-pandemic era , The Scientific Temper: Vol. 15 No. 04 (2024): The Scientific Temper
- Gitesh Kalita, NEP 2020 policies for inclusive education , The Scientific Temper: Vol. 15 No. spl-2 (2024): The Scientific Temper
- Mineshi Mishra, Purnima Awasthi, Psychosocial factors affecting risk of post-partum depression among mothers and their Birth satisfaction: A systematic review , The Scientific Temper: Vol. 16 No. 03 (2025): The Scientific Temper
- Nalini. S, Ritha. W, Sasitharan Nagapan, Optimal Inventory Policies for Perishable Products Under Demand and Lead Time Uncertainty , The Scientific Temper: Vol. 16 No. 09 (2025): The Scientific Temper
- Preeti Gupta, Shalie Malik, Photoperiodic Supervision and Adaptability in Avian System , The Scientific Temper: Vol. 11 No. 1&2 (2020): The Scientific Temper
- Kapil ahuja, Ekta Rani, Soniya Devi, Exploring the dynamic landscape of environmental, social, and governance literature by using bibliometric analysis , The Scientific Temper: Vol. 15 No. 01 (2024): The Scientific Temper
- Shivani Goel, Rashmi Ashtt, Monali Wankar, Analyzing the impact of crime on quality of life in Old Delhi: A quantitative approach , The Scientific Temper: Vol. 15 No. 04 (2024): The Scientific Temper
- Subin M. Varghese, K. Aravinthan, A robust finger detection based sign language recognition using pattern recognition techniques , The Scientific Temper: Vol. 15 No. spl-1 (2024): The Scientific Temper
- Rohit Chettri, Prem Kumar N, Renoprotective effect of flavonoids in type-2 diabetes mediated-nephropathy in Wistar rats , The Scientific Temper: Vol. 15 No. 04 (2024): The Scientific Temper
<< < 51 52 53 54 55 56 57 58 59 > >>
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

