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Print ISSN: 1582-7445
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WorldCat: 643243560
doi: 10.4316/AECE


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  3/2018 - 3

 HIGH-IMPACT PAPER 

Adaptive LSB Steganography Based on Chaos Theory and Random Distortion

TUTUNCU, K. See more information about TUTUNCU, K. on SCOPUS See more information about TUTUNCU, K. on IEEExplore See more information about TUTUNCU, K. on Web of Science, DEMIRCI, B. See more information about DEMIRCI, B. on SCOPUS See more information about DEMIRCI, B. on SCOPUS See more information about DEMIRCI, B. on Web of Science
 
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Download PDF pdficon (1,291 KB) | Citation | Downloads: 936 | Views: 1,657

Author keywords
ciphers, chaos, data encapsulation, data security, digital images

References keywords
image(17), steganography(15), chaotic(11), hiding(10), steganographic(9), information(8), algorithm(8), communications(7), signal(5), security(5)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2018-08-31
Volume 18, Issue 3, Year 2018, On page(s): 15 - 22
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2018.03003
Web of Science Accession Number: 000442420900003
SCOPUS ID: 85052105181

Abstract
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Image steganography is a technique to hide secret information in an image without leaving any apparent evidence of image alteration. Hiding capacity, perceptual transparency, robustness, and resistance against attack must be considered as characteristics of the image steganography algorithms. In this study, Improved Chaos Based Bit Embedding has been proposed as a new steganography algorithm. It is based on two basic principles. One of them is determining the bits in which the secret data will be embedded by logistic map and the other one is embedding the secret data into only one of the three color channels that is chosen randomly. It distorts the other remaining channels so that it is harder to obtain the text within the image by an unwanted person. The proposed algorithm has been tested on 10 sample images along with the four basic steganography algorithms: Least Significant Bit Embedding, Pseudo Random Least Significant Bit Embedding, EzStego, and F5. It has been seen that generating unpredictable indexes by the chaotic random number generators, and embedding the secret data into only one of the three channels (distorting remaining channels) increased resistance against attacks. Perceptual transparencies and capacity ratio of the proposed algorithm are compatible with the other four algorithms.


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References Weight

Web of Science® Citations for all references: 31,741 TCR
SCOPUS® Citations for all references: 49,238 TCR

Web of Science® Average Citations per reference: 721 ACR
SCOPUS® Average Citations per reference: 1,119 ACR

TCR = Total Citations for References / ACR = Average Citations per Reference

We introduced in 2010 - for the first time in scientific publishing, the term "References Weight", as a quantitative indication of the quality ... Read more

Citations for references updated on 2022-01-29 05:30 in 242 seconds.




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