An Energy-Efficient and Secure Data Inference Framework for Internet of Health Things: A Pilot Study

Privacy protection in electronic healthcare applications is an important consideration, due to the sensitive nature of personal health data. Internet of Health Things (IoHT) networks that are used within a healthcare setting have unique challenges and security requirements (integrity, authentication...

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Detalles Bibliográficos
Autores principales: Kang, James Jin, Dibaei, Mahdi, Luo, Gang, Yang, Wencheng, Haskell-Dowland, Paul, Zheng, Xi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7796504/
https://www.ncbi.nlm.nih.gov/pubmed/33466416
http://dx.doi.org/10.3390/s21010312

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7796504/
https://www.ncbi.nlm.nih.gov/pubmed/33466416
http://dx.doi.org/10.3390/s21010312

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