Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Nagm, Ahmad, Safy Elwan, Mohammed
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2021
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
_version_ 1783674960629202944
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
work_keys_str_mv AT nagmahmad protectionofthepatientdataagainstintentionalattacksusingahybridrobustwatermarkingcode
AT safyelwanmohammed protectionofthepatientdataagainstintentionalattacksusingahybridrobustwatermarkingcode