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
- T. Kanimozhi, V. Rajeswari, R. Suguna, J. Nirmaladevi, P. Prema, B. Janani, R. Gomathi, RWHO: A hybrid of CNN architecture and optimization algorithm to predict basal cell carcinoma skin cancer in dermoscopic images , The Scientific Temper: Vol. 15 No. 02 (2024): The Scientific Temper
- Akila L, Comparative study on Datafication and Digitization , The Scientific Temper: Vol. 16 No. 09 (2025): The Scientific Temper
- Animesh Priyadarshi, Dr. Bidyanand Choudhary, Economic Impact of Mahua (Madhuca longifolia, Ericales, Sapotaceae) and Tendu Leaves (Diospyros melanoxylon, Ericales, Ebenaceae) Collection on Rural Livelihood: A Comprehensive Case Study of Jharkhand , The Scientific Temper: Vol. 16 No. 12 (2025): The Scientific Temper
- G. C. Sowparnika, D. A. Vijula, Modeling and control of boiler in thermal power plant using model reference adaptive control , The Scientific Temper: Vol. 15 No. 01 (2024): The Scientific Temper
- V. Mahalakshmi, M. Manimekalai, Location Specific Paddy Yield Prediction using Monte Carlo Simulation incorporated Long Short-Term Memory , The Scientific Temper: Vol. 16 No. 10 (2025): The Scientific Temper
- Saloni M. Thacker, S. Z. Zubair Ahmed, Anaurene Roy, Influence of loneliness on self-esteem and mental wellbeing in non-domicle postgraduate students in Bangalore , The Scientific Temper: Vol. 16 No. 06 (2025): The Scientific Temper
- Ayesha Shakith, L. Arockiam, Enhancing classification accuracy on code-mixed and imbalanced data using an adaptive deep autoencoder and XGBoost , The Scientific Temper: Vol. 15 No. 03 (2024): The Scientific Temper
- Shaheen Fatima, Priyanka Suryavanshi, Urban slum children in Lucknow: Exploring nutritional status and complementary feeding practices , The Scientific Temper: Vol. 15 No. 02 (2024): The Scientific Temper
- M. Monika, J. Merline Vinotha, Optimization of a Lean Vendor–Buyer Supply Chain Model under Neutrosophic Fuzzy Environment with Transportation, Loading, and Unloading Considerations , The Scientific Temper: Vol. 16 No. 10 (2025): The Scientific Temper
- Ishfaq Ahmad Malik, Showkat Ahmad Shah, Economic impact of COVID-19 on Ethiopian micro, small, and medium enterprises and policy measures , The Scientific Temper: Vol. 14 No. 02 (2023): The Scientific Temper
<< < 24 25 26 27 28 29 30 31 32 33 > >>
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

