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

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.

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Abstract

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

Item Type:	Conference or Workshop Item (UNSPECIFIED)
Additional Information:	6153/37146 (ISBN: 978-1-4799-2758-6, DOI: 10.1109/ACSAT.2013.39 )
Uncontrolled Keywords:	Digital watermarking; carrier file; hidden file; watermarked file; feed-forward neural network
Subjects:	Q Science > Q Science (General)
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Information and Communication Technology > Department of Information System Kulliyyah of Information and Communication Technology > Department of Information System
Depositing User:	Dr Adamu Abubakar
Date Deposited:	07 Jul 2014 09:16
Last Modified:	20 Sep 2017 15:56
URI:	http://irep.iium.edu.my/id/eprint/37146

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