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: Proceeding Paper
Language:English
English
Published: 2013
Subjects:
Online Access: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
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author Zeki, Akram M.
Abubakar, Adamu
Haruna, Chiroma
author_facet Zeki, Akram M.
Abubakar, Adamu
Haruna, Chiroma
author_sort Zeki, Akram M.
building IIUM Repository
collection Online Access
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
first_indexed 2025-11-14T15:48:20Z
format Proceeding Paper
id iium-37146
institution International Islamic University Malaysia
institution_category Local University
language English
English
last_indexed 2025-11-14T15:48:20Z
publishDate 2013
recordtype eprints
repository_type Digital Repository
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 Proceeding Paper 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/
spellingShingle Q Science (General)
Zeki, Akram M.
Abubakar, Adamu
Haruna, Chiroma
Investigating digital watermark dynamics on carrier file by feed-forward neural network
title 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_short 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
topic Q Science (General)
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