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
- Sowmiya M, Banu Rekha B, Malar E, Assessment of transfer learning models for grading of diabetic retinopathy , The Scientific Temper: Vol. 14 No. 02 (2023): The Scientific Temper
- R. A. Askerov, The role of improving the business environment in agriculture in ensuring the country’s food security , The Scientific Temper: Vol. 15 No. 02 (2024): The Scientific Temper
- Priydarshi Shireesh, Tiwari Atul Kumar, Singh Prashant, Rai Kumud, Mishra Dev Brat, Comparative Water Quality Analysis in Beso River in District Jaunpur, Azamgarh and Ghazipur Uttar Pradesh , The Scientific Temper: Vol. 12 No. 1&2 (2021): The Scientific Temper
- Isaac Asampana, Henry M. Akwetey, Ben Ocra, Jones Y. Nyame, Albert A. Akanferi, Hannah A. Tanye, Factors motivating the adoption of virtual learning environments in higher education. Is gender relevant? , The Scientific Temper: Vol. 15 No. 01 (2024): The Scientific Temper
- Habtamu Rufe Gurmu, M. Krishna Naidu, Garedo Tesfa, Assessment of Factors Influencing Use of Insecticide among Smallholders Farmers in Dale Sadi District of Kellem Wallega Zone, Ethiopia , The Scientific Temper: Vol. 17 No. 02 (2026): The Scientific Temper
- Abu Regasa, Habtamu Rufe, Synergistic Amelioration of Acidic Soils: A Review of Integrated Lime, Organic, and Inorganic Fertilizer Strategies , The Scientific Temper: Vol. 17 No. 02 (2026): The Scientific Temper
- Manisha Anil Vhora, Vidya Bhandwalkar, Prashant Mangesh Rege, AI-driven HR analytics: Enhancing decision-making in workforce planning , The Scientific Temper: Vol. 15 No. 04 (2024): The Scientific Temper
- K. Vani, S. Britto Ramesh Kumar, FSECAD: Feature-Selected Explainable Cloud Anomaly Detection Framework , The Scientific Temper: Vol. 17 No. 02 (2026): The Scientific Temper
- Dimpal Khambhati, Chirag Patel, Analyzing cardiac physiology: ECG ensemble averaging and morphological features under treadmill-induced stress in LabVIEW , The Scientific Temper: Vol. 16 No. 07 (2025): The Scientific Temper
- Vibhu Tripathi, India’s transformative journey: A decade and a half of growth, innovation, and inclusive progress , The Scientific Temper: Vol. 15 No. 04 (2024): The Scientific Temper
<< < 20 21 22 23 24 25 26 27 28 29 > >>
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

