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RGB channel based decision tree grey-alpha medical image steganography with RSA cryptosystem

Zeitschrift:: International Journal of Machine Learning and Cybernetics > Ausgabe 5/2017

Autoren:: Mamta Jain, Anil Kumar

Abstract

This paper presents the novelty in sensitive data transmission of patient medical records. The secret medical data is hidden inside scanned grey medical image or magnetic resonance image using the red, green, blue, and alpha (RGBA) image and with the help of decision tree. In this technique, alpha channel will be separated from the RGBA image and merged to the medical grey image to improve the hiding capacity. RSA cryptosystem is used to encrypt the medical data, and divided into various blocks using dynamic key. In steganography process, organize the grey-alpha channel medical cover image into various blocks using dynamic key. Secret cipher blocks are assigned to grey-alpha channel medical cover image blocks using Breadth First Search and decision tree, for data embedding. Performance analysis is observed using various performance measure parameters between various medical stego and cover images.

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Titel: RGB channel based decision tree grey-alpha medical image steganography with RSA cryptosystem
Autoren:: Mamta Jain
Anil Kumar
Publikationsdatum: 09.05.2016
DOI: https://doi.org/10.1007/s13042-016-0542-y
Verlag: Springer Berlin Heidelberg
Zeitschrift: International Journal of Machine Learning and Cybernetics
Ausgabe 5/2017
Print ISSN: 1868-8071
Elektronische ISSN: 1868-808X

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