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Data Hiding Using Steganography

Authors: Monica Dagadita; Emil-Ioan Slusanschi; Razvan Dobre;

Data Hiding Using Steganography

Abstract

It is a truth universally acknowledged that "a picture is worth a thousand words". The emerge of digital media has taken this saying to a complete new level. By using steganography, one can hide not only 1000, but thousands of words even in an average sized image. This article presents various types of techniques used by modern digital steganography, as well as the implementation of the least significant bit (LSB) method. The main objective is to develop an application that uses LSB insertion in order to encode data into a cover image. Both a serial and parallel version are proposed and an analysis of the performances is made using images ranging from 1:9 to 131 megapixels.

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    6
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
6
Top 10%
Top 10%
Average
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