Concurring of Neural Machines for Robust Session Key Generation and Validation in Telecare Health System During COVID-19 Pandemic
Author:
Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering,Computer Science Applications
Link
https://link.springer.com/content/pdf/10.1007/s11277-023-10362-y.pdf
Reference33 articles.
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2. Almaiah, M. A., Al-Khasawneh, A., & Althunibat, A. (2020). Exploring the critical challenges and factors influencing the Elearning system usage during COVID-19 pandemic. Education and Information Technologies, 25, 5261–5280. https://doi.org/10.1007/s10639-020-10219-y
3. Porath, A., Irony, A., Borobick, A. S., Nasser, S., Malachi, A., Fund, N., & Kaufman, G. (2017). Maccabi proactive Telecare Center for chronic conditions–the care of frail elderly patients. Israel Journal of Health Policy Research, 6, 68.
4. Sarkar, A., Dey, J., Chatterjee, M., Bhowmik, A., & Karforma, S. (2019). Neural soft computing based secured transmission of intraoral gingivitis image in E-Health. Indonesian Journal of Electrical Engineering and Computer Science, 14(1), 178–184.
5. Mislovaty, R., Perchenok, Y., Kanter, I., & Kinzel, W. (2002). Secure key-exchange protocol with an absence of injective functions. Physical Review E, 66, 066102.
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