CRMar 7, 2017

A Novel Approach of Pseudorandomly sorted list-based Steganography

arXiv:1703.02451v1
Originality Incremental advance
AI Analysis

This is an incremental improvement in steganography for secure data hiding applications.

The authors tackled the problem of embedding secret messages in lists of pseudo-randomly sorted character sequences, achieving higher hiding capacity than existing methods through a block-by-block embedding approach with specific efficiency conditions.

We propose a new model of steganography based on a list of pseudo-randomly sorted sequences of characters. Given a list $L$ of $m$ columns containing $n$ distinct strings each, with low or no semantic relationship between columns taken two by two, and a secret message $s \in \{0,1\}^*$, our model embeds $s$ in $L$ block by block, by generating, for each column of $L$, a permutation number and by reordering strings contained in it according to that number. Where, letting $l$ be average bit length of a string, the embedding capacity is given by $[(m-1)*log_2(n!-1)/n*l]$. We've shown that optimal efficiency of the method can be obtained with the condition that $(n >> l)$. The results which has been obtained by experiments, show that our model performs a better hiding process than some of the important existing methods, in terms of hiding capacity.

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