An Efficient and Privacy-Preserving Scheme for Disease Prediction in Modern Healthcare Systems

An Efficient and Privacy-Preserving Scheme for Disease Prediction in Modern Healthcare Systems

With the Internet of Things (IoT), mobile healthcare applications can now offer a variety of dimensionalities and online services. Disease Prediction Systems (DPS) increase the speed and accuracy of diagnosis, improving the quality of healthcare services. However, privacy is garnering an increasing...

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Bibliographic Details
Main Authors: Shynu Padinjappurathu Gopalan, Chiranji Lal Chowdhary, Celestine Iwendi, Muhammad Awais Farid, Lakshmana Kumar Ramasamy
Format: Article
Language:English
Published: MDPI AG 2022-07-01
Series:Sensors
Subjects:
Internet of Things
authentication
secure data transfer
disease prediction system (DPS)
substitution cipher
log of round value-based elliptic curve cryptography (LR-ECC)
Online Access:https://www.mdpi.com/1424-8220/22/15/5574

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https://www.mdpi.com/1424-8220/22/15/5574

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