Enhanced Consumer Healthcare Data Protection Through AI-Driven TinyML and Privacy-Preserving Techniques

Enhanced Consumer Healthcare Data Protection Through AI-Driven TinyML and Privacy-Preserving Techniques

In the recent digital landscape, securing healthcare data stored on personal devices has become imperative due to increasing cyberattacks. Healthcare data inside an organization is often vulnerable to security breaches and requires privacy-preserving mechanisms to ensure secure storage and sharing a...

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Bibliographic Details
Main Authors: S. Aanjankumar, Monoj Kumar Muchahari, Shabana Urooj, Ishmeet Kaur, Rajesh Kumar Dhanaraj, Hanan Abdullah Mengash, S. Poonkuntran, Parag Ravikant Kaveri
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Tiny ML
healthcare data security
ECG
differential privacy
federated learning
feedforward neural network
Online Access:https://ieeexplore.ieee.org/document/11014071/
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https://ieeexplore.ieee.org/document/11014071/

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