Hilbert Convex Similarity for Highly Secure Random Distribution of Patient Privacy Steganography

Hilbert Convex Similarity for Highly Secure Random Distribution of Patient Privacy Steganography

Based on Hilbert Random Secure Distribution, a novel data-hiding method for embedding secret information about the patient in a cover image MRI sample has been proposed. Least significant bit (LSB) and most significant bit (MSB) techniques are applied for the physical hiding. Medical images confiden...

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Bibliographic Details
Main Authors: Hussein K. Alzubaidy, Dhiah Al-Shammary, Mohammed Hamzah Abed, Ayman Ibaida, Khandakar Ahmed
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Patient privacy
steganography
LSB
MSB
MRI samples
Hilbert similarity
Online Access:https://ieeexplore.ieee.org/document/10287340/

Internet

https://ieeexplore.ieee.org/document/10287340/

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