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Experimenting with the Novel Approaches in Text Steganography

ISSN : 0974 - 9330
Journal from gdlhub / 2017-08-14 11:52:34
Oleh : Shraddha Dulera1, Devesh Jinwala1 and Aroop Dasgupta2, International Journal of Network Security & Its Applications
Dibuat : 2012-06-26, dengan 1 file

Keyword : Steganography, Text Steganography, Feature coding
Subjek : Experimenting with the Novel Approaches in Text Steganography
Url : http://airccse.org/journal/nsa/1111nsa16.pdf
Sumber pengambilan dokumen : Internet

As is commonly known, the steganographic algorithms employ images, audio, video or text files as the


medium to ensure hidden exchange of information between multiple contenders to protect the data from


the prying eyes. However, using text as the target medium is relatively difficult as compared to the other


target media, because of the lack of available redundant information in a text file. In this paper, in the


backdrop of the limitations in the prevalent text based steganographic approaches, we propose simple,


yet novel approaches that overcome the same. Our approaches are based on combining the random


character sequence and feature coding methods to hide a character. We also analytically evaluate the


approaches based on metrics viz. hiding strength, time overhead and memory overhead entailed. As


compared to other methods, we believe the approaches proposed impart increased randomness and thus


aid higher security at lower overhead.

Deskripsi Alternatif :

As is commonly known, the steganographic algorithms employ images, audio, video or text files as the


medium to ensure hidden exchange of information between multiple contenders to protect the data from


the prying eyes. However, using text as the target medium is relatively difficult as compared to the other


target media, because of the lack of available redundant information in a text file. In this paper, in the


backdrop of the limitations in the prevalent text based steganographic approaches, we propose simple,


yet novel approaches that overcome the same. Our approaches are based on combining the random


character sequence and feature coding methods to hide a character. We also analytically evaluate the


approaches based on metrics viz. hiding strength, time overhead and memory overhead entailed. As


compared to other methods, we believe the approaches proposed impart increased randomness and thus


aid higher security at lower overhead.

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