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Enhancing Confidentiality of Private Communication through Dual Compression


Affiliations
1 Dept. of Information Technology, SVEC, Tirupati, JNTU A, A.P-517 102, India
 

The conveyance of sensitive information over any media involves secured approach. The most frequent method for this process is cryptography which is reliable to certain extent only. To strengthen the reliability of communication, steganography is one available solution. If message is conveyed over an image(like JPEG) as embedding space by adjusting the quantization table value, the reliability is further strengthened. Current article demonstrates this particular scheme involving few permutation algorithms which can be used for conveying sensitive information between sender and receiver. This dual compression on an image gives fair results.

Keywords

Image Processing, Steganography, Dual Compression, Quantization Tables.
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Abstract Views: 315

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  • Enhancing Confidentiality of Private Communication through Dual Compression

Abstract Views: 315  |  PDF Views: 164

Authors

Kristipati Sudharshana Reddy
Dept. of Information Technology, SVEC, Tirupati, JNTU A, A.P-517 102, India
S. K. Munwar
Dept. of Information Technology, SVEC, Tirupati, JNTU A, A.P-517 102, India
Rajesh Bhakthavatsalam
Dept. of Information Technology, SVEC, Tirupati, JNTU A, A.P-517 102, India

Abstract


The conveyance of sensitive information over any media involves secured approach. The most frequent method for this process is cryptography which is reliable to certain extent only. To strengthen the reliability of communication, steganography is one available solution. If message is conveyed over an image(like JPEG) as embedding space by adjusting the quantization table value, the reliability is further strengthened. Current article demonstrates this particular scheme involving few permutation algorithms which can be used for conveying sensitive information between sender and receiver. This dual compression on an image gives fair results.

Keywords


Image Processing, Steganography, Dual Compression, Quantization Tables.