Investigating digital watermark dynamics on carrier file by feed-forward neural network

Carrier files are commonly described as host files in digital watermarking in which hidden files are embedded on it. As a result, new files are formed which contain the hidden files or messages. This paper aim at resolving the problem of capacity in Image watermarking and utilizes the bits ratios of...

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Main Authors:	Zeki, Akram M., Abubakar, Adamu, Haruna, Chiroma
Format:	Conference or Workshop Item
Language:	English English
Published:	2013
Subjects:	Q Science (General)
Online Access:	http://irep.iium.edu.my/37146/ http://irep.iium.edu.my/37146/ http://irep.iium.edu.my/37146/1/06836568.pdf http://irep.iium.edu.my/37146/4/37146_Investigating%20digital%20watermark%20dynamics%20on%20carrier%20file%20by%20feed-forward%20neural%20network.SCOPUSpdf.pdf

id	iium-37146
recordtype	eprints
spelling	iium-371462017-09-20T07:56:34Z http://irep.iium.edu.my/37146/ Investigating digital watermark dynamics on carrier file by feed-forward neural network Zeki, Akram M. Abubakar, Adamu Haruna, Chiroma Q Science (General) Carrier files are commonly described as host files in digital watermarking in which hidden files are embedded on it. As a result, new files are formed which contain the hidden files or messages. This paper aim at resolving the problem of capacity in Image watermarking and utilizes the bits ratios of the watermark and carrier file as the raw data for analysis. The data are obtained from the result of the first project undertaken to determine the implementation of different applications available in the public domain for embedding a watermark. Feed-forward neural network (FFNN) is used for analysis because is applicable to a wide range of forecasting problems and yields a high degree of accuracy for the bits ratios of watermark and host. The result indicates the relationship between the carrier file and the hidden file, which establishes a pattern where the larger the bits of the carrier file, the larger the watermark bits and vice versa. Although this is only in terms of Image watermarking. Further studies should apply the same technique on video and audio watermarking 2013-12-22 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/37146/1/06836568.pdf application/pdf en http://irep.iium.edu.my/37146/4/37146_Investigating%20digital%20watermark%20dynamics%20on%20carrier%20file%20by%20feed-forward%20neural%20network.SCOPUSpdf.pdf Zeki, Akram M. and Abubakar, Adamu and Haruna, Chiroma (2013) Investigating digital watermark dynamics on carrier file by feed-forward neural network. In: 2nd International Conference on Advanced Computer Science Applications and Technologies (ACSAT2013), 22-24 December 2013, Kuching, Sarawak. http://dsr-conferences.co.uk/acsat/acsat2013/
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English English
topic	Q Science (General)
spellingShingle	Q Science (General) Zeki, Akram M. Abubakar, Adamu Haruna, Chiroma Investigating digital watermark dynamics on carrier file by feed-forward neural network
description	Carrier files are commonly described as host files in digital watermarking in which hidden files are embedded on it. As a result, new files are formed which contain the hidden files or messages. This paper aim at resolving the problem of capacity in Image watermarking and utilizes the bits ratios of the watermark and carrier file as the raw data for analysis. The data are obtained from the result of the first project undertaken to determine the implementation of different applications available in the public domain for embedding a watermark. Feed-forward neural network (FFNN) is used for analysis because is applicable to a wide range of forecasting problems and yields a high degree of accuracy for the bits ratios of watermark and host. The result indicates the relationship between the carrier file and the hidden file, which establishes a pattern where the larger the bits of the carrier file, the larger the watermark bits and vice versa. Although this is only in terms of Image watermarking. Further studies should apply the same technique on video and audio watermarking
format	Conference or Workshop Item
author	Zeki, Akram M. Abubakar, Adamu Haruna, Chiroma
author_facet	Zeki, Akram M. Abubakar, Adamu Haruna, Chiroma
author_sort	Zeki, Akram M.
title	Investigating digital watermark dynamics on carrier file by feed-forward neural network
title_short	Investigating digital watermark dynamics on carrier file by feed-forward neural network
title_full	Investigating digital watermark dynamics on carrier file by feed-forward neural network
title_fullStr	Investigating digital watermark dynamics on carrier file by feed-forward neural network
title_full_unstemmed	Investigating digital watermark dynamics on carrier file by feed-forward neural network
title_sort	investigating digital watermark dynamics on carrier file by feed-forward neural network
publishDate	2013
url	http://irep.iium.edu.my/37146/ http://irep.iium.edu.my/37146/ http://irep.iium.edu.my/37146/1/06836568.pdf http://irep.iium.edu.my/37146/4/37146_Investigating%20digital%20watermark%20dynamics%20on%20carrier%20file%20by%20feed-forward%20neural%20network.SCOPUSpdf.pdf
first_indexed	2023-09-18T20:53:17Z
last_indexed	2023-09-18T20:53:17Z
_version_	1777410137009422336

Investigating digital watermark dynamics on carrier file by feed-forward neural network

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