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Robust Watermarking Method for Secure Transmission of Medical Images in EHR Systems

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Author :  Abderrahmane Daham and Mohamed ouslim

Affiliation :  University of Science and Technology of Oran (USTO)

Country :  Algeria

Category :  Computer Science & Information Technology

Volume, Issue, Month, Year :  14, 5, October, 2022

Abstract :


Confidentiality of Electronic Health Record (EHR) and privacy are two important security requirements for healthcare systems. Many devices on the EHR network utilize little or no encryption, which makes data in transit vulnerable to exploitative attacks, such as Man-in-the-Middle and other filtration methods. Recently, watermarking algorithms as an efficient response to these requirements is in the underline. In this paper, we present a robust watermarking method conceived as part of an Electronic Health Record platform. In this method a chaotic encryption and blind medical image watermarking technique was incorporated into the system as an authorization mechanism to ensure confidentiality and integrity of electronic health information. We present a hybrid watermarking method based on a combination of discrete wavelet transform (DWT), hessenberg Decomposition (HD), Singular value decomposition (SVD) and an original chaos crypto system based on the Arnold Transform (AT) of Singular Value Decomposition. In order to spread the robustness of our algorithm and provide additional security, an improved SVD-AT embedding and extraction procedure has been used to scramble the EHR data in the preprocessing step of the proposed method. In the process of watermark embedding, an R-level discrete wavelet transform was applied to the host image.

Keyword :  Watermarking, medical image, discrete wavelet transform, singular value decomposition, Arnold Transform, e-health, chaos, hessenberg Decomposition, EHR Modeling.

Journal/ Proceedings Name :  International Journal of Computer Science & Information Technology (IJCSIT)

URL :  https://aircconline.com/ijcsit/V14N5/14522ijcsit05.pdf

User Name : Selina
Posted 30-11-2022 on 15:31:29 AEDT



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