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Improving the Performance of Least Significant Bit Substitution Steganography against Rs Steganalysis by Minimizing Detection Probability

ISSN-2223-4985
Journal from gdlhub / 2012-06-22 14:58:02
Oleh : Vijay Kumar Sharma , Vishal Shrivastava, STIKOM Dinamika Bangsa Jambi
Dibuat : 2012-06-22, dengan 1 file

Keyword : LSB steganography, PSNR, Zigzag Scan, Flipping functions, RS Steganalysis.
Url : http://esjournals.org/journaloftechnology/archive/vol1no4/vol1no4_1.pdf
Sumber pengambilan dokumen : Internet

Steganography is a branch of information hiding. It embeds the secret message in the cover media (e.g. image, audio,

video, etc.) to hide the existence of the message. In recent years, many successful steganography methods have been

proposed. With the extensive application of steganography, it is challenged by steganalysis. The most notable steganalysis

algorithm is the RS attack which detects the stego-message by the statistic analysis of pixel values. To ensure the security

against the RS analysis[1], a new steganographic algorithm is presented based on genetic algorithm in this paper. After

embedding the secret message in LSB (least significant bit) of the cover image, the pixel values of the stego image are

modified by the genetic algorithm[2] to keep their statistic characters. Thus, the existence of the secret message is hard to

be detected by the RS analysis. Meanwhile, better visual quality can be achieved by the proposed algorithm. The

experimental results demonstrate the proposed algorithm's effectiveness in resistance to steganalysis with better visual

quality.

Deskripsi Alternatif :

Steganography is a branch of information hiding. It embeds the secret message in the cover media (e.g. image, audio,

video, etc.) to hide the existence of the message. In recent years, many successful steganography methods have been

proposed. With the extensive application of steganography, it is challenged by steganalysis. The most notable steganalysis

algorithm is the RS attack which detects the stego-message by the statistic analysis of pixel values. To ensure the security

against the RS analysis[1], a new steganographic algorithm is presented based on genetic algorithm in this paper. After

embedding the secret message in LSB (least significant bit) of the cover image, the pixel values of the stego image are

modified by the genetic algorithm[2] to keep their statistic characters. Thus, the existence of the secret message is hard to

be detected by the RS analysis. Meanwhile, better visual quality can be achieved by the proposed algorithm. The

experimental results demonstrate the proposed algorithm's effectiveness in resistance to steganalysis with better visual

quality.

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