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
- Ekta Singh, Ekta Rani, Trends and Determinants of Mergers and Acquisitions in the Manufacturing Sector in India , The Scientific Temper: Vol. 17 No. 01 (2026): The Scientific Temper
- Seema Rani Sarraf, S.N. Dubey, STRESS AND ACADEMIC ACHIEVEMENT IN RELATION TO DURATION OF SLEEP AND COURSE , The Scientific Temper: Vol. 8 No. 1&2 (2017): The Scientific Temper
- C. Mohan Raj, M. Sundaram , M. Anand, Automation of industrial machinerie , The Scientific Temper: Vol. 14 No. 02 (2023): The Scientific Temper
- A. Appu, How does brand equity influence the intent of e-bike users? Evidence from Chennai city , The Scientific Temper: Vol. 14 No. 03 (2023): The Scientific Temper
- Rajeshwari D, C. Victoria Priscilla, An optimized real-time human detected keyframe extraction algorithm (HDKFE) based on faster R-CNN , The Scientific Temper: Vol. 15 No. 03 (2024): The Scientific Temper
- Shyamkant M. Khonde, Lata Suresh, Globalization and the evolution of labor: Navigating new frontiers in the global economy , The Scientific Temper: Vol. 15 No. 04 (2024): The Scientific Temper
- Virendra Chavda, Bhavesh J. Parmar, Urvi Zalavadia, Assessment of Omni channel retailing characteristics and its effect on consumer buying intention , The Scientific Temper: Vol. 15 No. spl-2 (2024): The Scientific Temper
- Aishwarya Jha, Jyoti Gangta, Neha Kapur, Comparison of anterior corneal aberrometry, keratometry and pupil size with Scheimpflug tomography and ray tracing aberrometer in moderate and high refractive error , The Scientific Temper: Vol. 16 No. 06 (2025): The Scientific Temper
- Yashi Verma, Pramod K. Raghav, Nutritional Status & Dietary Pattern of Tuberculosis Patients in India: A Systematic Review , The Scientific Temper: Vol. 17 No. 02 (2026): The Scientific Temper
- Anjum Parvez, Seema Yadav, Sandhya Verma, Electronic Record as Evidence in the Courts: An Analysis , The Scientific Temper: Vol. 12 No. 1&2 (2021): The Scientific Temper
<< < 39 40 41 42 43 44 45 46 47 48 > >>
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

