z-logo
open-access-imgOpen Access
Robust transmission of medical records using dual watermarking and optimization algorithm
Author(s) -
Preetam Amrit,
Ashima Anand,
Sachin Kumar,
Ak . Ashakumar Singh
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1767/1/012060
Subject(s) - digital watermarking , robustness (evolution) , computer science , embedding , scheme (mathematics) , algorithm , data mining , scaling , code (set theory) , artificial intelligence , image (mathematics) , mathematics , mathematical analysis , biochemistry , chemistry , geometry , set (abstract data type) , gene , programming language
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.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here