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Protection of the patient data against intentional attacks using a hybrid robust watermarking code
The security of patient information is important during the transfer of medical data. A hybrid spatial domain watermarking algorithm that includes encryption, integrity protection, and steganography is proposed to strengthen the information originality based on the authentication. The proposed algor...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
PeerJ Inc.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8022583/ https://www.ncbi.nlm.nih.gov/pubmed/33834095 http://dx.doi.org/10.7717/peerj-cs.400 |
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author | Nagm, Ahmad Safy Elwan, Mohammed |
author_facet | Nagm, Ahmad Safy Elwan, Mohammed |
author_sort | Nagm, Ahmad |
collection | PubMed |
description | The security of patient information is important during the transfer of medical data. A hybrid spatial domain watermarking algorithm that includes encryption, integrity protection, and steganography is proposed to strengthen the information originality based on the authentication. The proposed algorithm checks whether the patient’s information has been deliberately changed or not. The created code is distributed at every pixel of the medical image and not only in the regions of non-interest pixels, while the image details are still preserved. To enhance the security of the watermarking code, SHA-1 is used to get the initial key for the Symmetric Encryption Algorithm. The target of this approach is to preserve the content of the image and the watermark simultaneously, this is achieved by synthesizing an encrypted watermark from one of the components of the original image and not by embedding a watermark in the image. To evaluate the proposed code the Least Significant Bit (LSB), Bit2SB, and Bit3SB were used. The evaluation of the proposed code showed that the LSB is of better quality but overall the Bit2SB is better in its ability against the active attacks up to a size of 2*2 pixels, and it preserves the high image quality. |
format | Online Article Text |
id | pubmed-8022583 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | PeerJ Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-80225832021-04-07 Protection of the patient data against intentional attacks using a hybrid robust watermarking code Nagm, Ahmad Safy Elwan, Mohammed PeerJ Comput Sci Computer Vision The security of patient information is important during the transfer of medical data. A hybrid spatial domain watermarking algorithm that includes encryption, integrity protection, and steganography is proposed to strengthen the information originality based on the authentication. The proposed algorithm checks whether the patient’s information has been deliberately changed or not. The created code is distributed at every pixel of the medical image and not only in the regions of non-interest pixels, while the image details are still preserved. To enhance the security of the watermarking code, SHA-1 is used to get the initial key for the Symmetric Encryption Algorithm. The target of this approach is to preserve the content of the image and the watermark simultaneously, this is achieved by synthesizing an encrypted watermark from one of the components of the original image and not by embedding a watermark in the image. To evaluate the proposed code the Least Significant Bit (LSB), Bit2SB, and Bit3SB were used. The evaluation of the proposed code showed that the LSB is of better quality but overall the Bit2SB is better in its ability against the active attacks up to a size of 2*2 pixels, and it preserves the high image quality. PeerJ Inc. 2021-03-22 /pmc/articles/PMC8022583/ /pubmed/33834095 http://dx.doi.org/10.7717/peerj-cs.400 Text en © 2021 Nagm and Safy Elwan https://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ Computer Science) and either DOI or URL of the article must be cited. |
spellingShingle | Computer Vision Nagm, Ahmad Safy Elwan, Mohammed Protection of the patient data against intentional attacks using a hybrid robust watermarking code |
title | Protection of the patient data against intentional attacks using a hybrid robust watermarking code |
title_full | Protection of the patient data against intentional attacks using a hybrid robust watermarking code |
title_fullStr | Protection of the patient data against intentional attacks using a hybrid robust watermarking code |
title_full_unstemmed | Protection of the patient data against intentional attacks using a hybrid robust watermarking code |
title_short | Protection of the patient data against intentional attacks using a hybrid robust watermarking code |
title_sort | protection of the patient data against intentional attacks using a hybrid robust watermarking code |
topic | Computer Vision |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8022583/ https://www.ncbi.nlm.nih.gov/pubmed/33834095 http://dx.doi.org/10.7717/peerj-cs.400 |
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