StegoMos: a secure novel approach of high rate data hidden using mosaic image and ANN-BMP cryptosystem

Zaidan, B.B. and Zaidan, A.A. and Taqa, A. and Alam, G.M. and Kiah, M.L.M. and Jalab, A.H. (2010) StegoMos: a secure novel approach of high rate data hidden using mosaic image and ANN-BMP cryptosystem. International Journal of Physical Sciences, 5 (11). pp. 1796-1806. ISSN 1992-1950

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Abstract

This paper discusses a secure novel approach of high rate data hidden using mosaic image and bitmap (bmp) cryptosystem. The mosaic image used in this approach together with the neural cryptosystem that have been implemented for the first time and has been successful, this new method of hiding data is based on LSB in mosaic images. A mosaic is an image that is comprised of hundreds or thousands of other images to create one common image. The proposed approach is named "StegoMos". Once the mosaic cover is chosen, then data is secured by the crypto-system which is used to encrypt the data before hiding. The crypto-system is based on BAM neural network. The importance of neural networks in this work is that they offer a very powerful and a very general framework for representing non-linear mapping from several input variables to several output variables. Merging high rate data hiding in mosaic images as well as making the data secure arises from the requirements of the problem of increasing the amount of data hidden and at the same time maintains the quality of image. The second requirement is the security of data. Experimental results show the effectiveness of using the mosaic image cover over the normal image. © 2010 Academic Journals.

Item Type: Article
Additional Information: Cited By (since 1996): 10 Export Date: 1 November 2012 Source: Scopus Language of Original Document: English Correspondence Address: Alam, G. M.; Department of Educational Management, Planning and Policy, Faculty of Education, University of Malaya, 50606 Kuala Lumpur, Malaysia; email: gazi.alam@um.edu.my
Uncontrolled Keywords: BAM neural networks Data security using neural networks High rate data hiding Mosaic image Steganography and data hidden
Subjects: T Technology > T Technology (General)
Divisions: Faculty of Computer Science & Information Technology
Depositing User: Ms Maisarah Mohd Muksin
Date Deposited: 04 Mar 2013 01:34
Last Modified: 04 Mar 2013 01:34
URI: http://eprints.um.edu.my/id/eprint/4932

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