Cargando…

Robust PDF Watermarking against Print–Scan Attack

Portable document format (PDF) files are widely used in file transmission, exchange, and circulation because of their platform independence, small size, good browsing quality, and the ability to place hyperlinks. However, their security issues are also more thorny. It is common to distribute printed...

Descripción completa

Detalles Bibliográficos
Autores principales: Li, Lei, Zhang, Hong-Jun, Meng, Jia-Le, Lu, Zhe-Ming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10490297/
https://www.ncbi.nlm.nih.gov/pubmed/37687821
http://dx.doi.org/10.3390/s23177365
_version_ 1785103811455483904
author Li, Lei
Zhang, Hong-Jun
Meng, Jia-Le
Lu, Zhe-Ming
author_facet Li, Lei
Zhang, Hong-Jun
Meng, Jia-Le
Lu, Zhe-Ming
author_sort Li, Lei
collection PubMed
description Portable document format (PDF) files are widely used in file transmission, exchange, and circulation because of their platform independence, small size, good browsing quality, and the ability to place hyperlinks. However, their security issues are also more thorny. It is common to distribute printed PDF files to different groups and individuals after printing. However, most PDF watermarking algorithms currently cannot resist print–scan attacks, making it difficult to apply them in leak tracing of both paper and scanned versions of PDF documents. To tackle this issue, we propose an invisible digital watermarking technology based on modifying the edge pixels of text strokes to hide information in PDFs, which achieves high robustness to print–scan attacks. Moreover, it cannot be detected by human perception systems. This method focuses on the representation of text by embedding watermarks by changing the features of the text to ensure that changes in these features can be reflected in the scanned PDF after printing. We first segment each text line into two sub-blocks, then select the row of pixels with the most black pixels, and flip the edge pixels closest to this row. This method requires the participation of original PDF documents in detection. The experimental results show that all peak signal-to-noise ratio (PSNR) values of our proposed method exceed 32 dB, which indicates satisfactory invisibility. Meanwhile, this method can extract the hidden information with 100% accuracy under the JPEG compression attack, and has high robustness against noise attacks and print–scan attacks. In the case of no attacks, the watermark can be recovered without any loss. In terms of practical applications, our method can be applied in the practical leak tracing of official paper documents after distribution.
format Online
Article
Text
id pubmed-10490297
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-104902972023-09-09 Robust PDF Watermarking against Print–Scan Attack Li, Lei Zhang, Hong-Jun Meng, Jia-Le Lu, Zhe-Ming Sensors (Basel) Article Portable document format (PDF) files are widely used in file transmission, exchange, and circulation because of their platform independence, small size, good browsing quality, and the ability to place hyperlinks. However, their security issues are also more thorny. It is common to distribute printed PDF files to different groups and individuals after printing. However, most PDF watermarking algorithms currently cannot resist print–scan attacks, making it difficult to apply them in leak tracing of both paper and scanned versions of PDF documents. To tackle this issue, we propose an invisible digital watermarking technology based on modifying the edge pixels of text strokes to hide information in PDFs, which achieves high robustness to print–scan attacks. Moreover, it cannot be detected by human perception systems. This method focuses on the representation of text by embedding watermarks by changing the features of the text to ensure that changes in these features can be reflected in the scanned PDF after printing. We first segment each text line into two sub-blocks, then select the row of pixels with the most black pixels, and flip the edge pixels closest to this row. This method requires the participation of original PDF documents in detection. The experimental results show that all peak signal-to-noise ratio (PSNR) values of our proposed method exceed 32 dB, which indicates satisfactory invisibility. Meanwhile, this method can extract the hidden information with 100% accuracy under the JPEG compression attack, and has high robustness against noise attacks and print–scan attacks. In the case of no attacks, the watermark can be recovered without any loss. In terms of practical applications, our method can be applied in the practical leak tracing of official paper documents after distribution. MDPI 2023-08-23 /pmc/articles/PMC10490297/ /pubmed/37687821 http://dx.doi.org/10.3390/s23177365 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Li, Lei
Zhang, Hong-Jun
Meng, Jia-Le
Lu, Zhe-Ming
Robust PDF Watermarking against Print–Scan Attack
title Robust PDF Watermarking against Print–Scan Attack
title_full Robust PDF Watermarking against Print–Scan Attack
title_fullStr Robust PDF Watermarking against Print–Scan Attack
title_full_unstemmed Robust PDF Watermarking against Print–Scan Attack
title_short Robust PDF Watermarking against Print–Scan Attack
title_sort robust pdf watermarking against print–scan attack
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10490297/
https://www.ncbi.nlm.nih.gov/pubmed/37687821
http://dx.doi.org/10.3390/s23177365
work_keys_str_mv AT lilei robustpdfwatermarkingagainstprintscanattack
AT zhanghongjun robustpdfwatermarkingagainstprintscanattack
AT mengjiale robustpdfwatermarkingagainstprintscanattack
AT luzheming robustpdfwatermarkingagainstprintscanattack