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Improving Steganographic capacity using distributed steganography over BMP

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Abstract

Our research area tackles the improvement of private data security using our proposed Steganographic method called DSoBMP-I (Distributed Steganography over BMP faze I) to improve the issues of low capacity, high detectability and distortion. The methodology consists of a new distributed steganographic approach to minimise the main weaknesses of today’s methods, including Discrete Cosine Transform, where the capacity, detectability and distortion needs an upgrade to accommodate securer steganography for our data protection. The proposed prototype approach that evolved after a few experiments using our distributed steganographic method, where secrete data is secure into a set of BMP files (as it is proven more reliable), originates from a raw file that is not necessarily a BMP at the start. After applying a layer of encryption for extra security using two different methods such as RC4 & RSA, comparing the two encryption techniques for its agility and extra security to address the issue of low capacity and better security using the DSoBMP-I method, all deriving from the supplied image. The overall achievement was improved capacity that doubles as the set of BMP images increases, less distortion and detectability as secrete data stays among different files.

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Acknowledgments

This research is from the Intelligent System Research Centre from London Metropolitan University. The authors would like to thank Dr. Qicheng Yu from the School of Computing and Digital Media from London Metropolitan University (United Kingdom) for helpful comments and observations.

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  1. Intelligent Systems Research Centre from the School of Computing and Digital Media, London Metropolitan University, London, UK

    Istteffanny Isloure Araujo & Hassan Kazemian

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  1. Istteffanny Isloure Araujo
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  2. Hassan Kazemian
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Correspondence to Istteffanny Isloure Araujo.

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Araujo, I.I., Kazemian, H. Improving Steganographic capacity using distributed steganography over BMP. Multimed Tools Appl 79, 26181–26195 (2020). https://doi.org/10.1007/s11042-020-09298-3

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  • DOI: https://doi.org/10.1007/s11042-020-09298-3

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