Multi-layer security of medical data through watermarking and chaotic encryption for tele-health applications

In this paper, we present a robust and secure watermarking approach using transform domain techniques for tele-health applications. The patient report/identity is embedding into the host medical image for the purpose of authentication, annotation and identification. For better confidentiality, we ap...

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Bibliographic Details
Published in:Multimedia tools and applications Vol. 78; no. 3; pp. 3457 - 3470
Main Authors: Thakur, Sriti, Singh, Amit Kumar, Ghrera, Satya Prakash, Elhoseny, Mohamed
Format: Journal Article
Language:English
Published: New York Springer US 01.02.2019
Springer Nature B.V
Subjects:
Algorithms
Annotations
Computer Communication Networks
Computer Science
Confidentiality
Cryptography
Cybersecurity
Data Structures and Information Theory
Digital watermarks
Encryption
Image quality
Medical imaging
Multilayers
Multimedia Information Systems
Noise
Performance evaluation
Special Purpose and Application-Based Systems
Ultrasonic imaging
Watermarking
Wavelet transforms
DWT
SVD
Chaos
Robustness
DCT
ISSN:1380-7501, 1573-7721
Online Access:Get full text
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Summary:In this paper, we present a robust and secure watermarking approach using transform domain techniques for tele-health applications. The patient report/identity is embedding into the host medical image for the purpose of authentication, annotation and identification. For better confidentiality, we apply the chaos based encryption algorithm on watermarked image in a less complex manner. Experimental results clearly indicated that the proposed technique is highly robust and sufficient secure for various forms of attacks without any significant distortions between watermarked and cover image. Further, the performance evaluation of our method is found better to existing state-of-the-art watermarking techniques under consideration. Furthermore, quality analysis of the watermarked image is estimated by subjective measure which is beneficial in quality driven healthcare industry.
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ISSN:1380-7501
1573-7721
DOI:10.1007/s11042-018-6263-3