Robust transmission of medical records using dual watermarking and optimization algorithm

Author:

Amrit Preetam,Anand Ashima,Kumar Sushil,Singh AK

Abstract

Abstract Nowadays, security of medical records is an important issue for tele-health system. Motivated by importance of such critical issue, we propose a robust watermarking method in the DWT-SVD-optimization domain. To solve the security issue, traditional watermarking schemes uses manual scaling factor to manage balance between imperceptibility, robustness and capacity. However, selection of manual scaling factor loses their optimize trade-off between these important parameters of watermarking. The suggested scheme encourages protection of medical data via techniques of dual watermarking and optimization scheme. In our scheme, the data owner imperceptibly embeds the dual watermarks in the medical cover image for extra level of security. Here, appropriate optimization schemes are used to find the scaling factor for embedding purpose. Further, the performance of this scheme is examined and compared. Moreover, the patient text data is coded via hamming code before inserting in to the cover so that bit error rate can be avoided or eliminated, if any. We show that the suggested scheme not only offers the high imperceptible but also robust for various attacks. Compared with existing schemes, our work offers more robustness while imperceptible and good capacity at the same time.

Publisher

IOP Publishing

Subject

General Physics and Astronomy

Reference26 articles.

1. An improved DWT-SVD domain watermarking for medical information security;Anand;Comput. Commun.,2020

2. Robust and Imperceptible Dual Watermarking for Telemedicine Applications;Singh;Wirel. Pers. Commun.,2015

3. Watermarking techniques for medical data authentication : a survey;Anand,2020

4. Coronavirus Disease 2019 (COVID-19): A Systematic Review of Imaging Findings in 919 Patients;Salehi;Am. J. Roentgenol.,2020

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