DocumentCode
3366247
Title
An LSB Data Hiding Technique Using Prime Numbers
Author
Dey, Sandipan ; Abraham, Ajith ; Sanyal, Sugata
Author_Institution
Anshin Software Private Ltd., Kolkata
fYear
2007
fDate
29-31 Aug. 2007
Firstpage
101
Lastpage
108
Abstract
In this paper, a novel data hiding technique is proposed, as an improvement over the Fibonacci LSB data-hiding technique proposed by Battisti et al. (2006), First we mathematically model and generalize our approach. Then we propose our novel technique, based on decomposition of a number (pixel-value) in sum of prime numbers. The particular representation generates a different set of (virtual) bit-planes altogether, suitable for embedding purposes. They not only allow one to embed secret message in higher bit-planes but also do it without much distortion, with a much better stego-image quality, and in a reliable and secured manner, guaranteeing efficient retrieval of secret message. A comparative performance study between the classical least significant bit (LSB) method, the Fibonacci LSB data-hiding technique and our proposed schemes has been done. Analysis indicates that image quality of the stego-image hidden by the technique using Fibonacci decomposition improves against that using simple LSB substitution method, while the same using the prime decomposition method improves drastically against that using Fibonacci decomposition technique. Experimental results show that, the stego-image is visually indistinguishable from the original cover-image.
Keywords
Fibonacci sequences; cryptography; data encapsulation; image coding; Fibonacci decomposition; Fibonacci least significant bit method data-hiding technique; prime decomposition method; prime numbers; secret message embedding; stego-image quality; substitution method; Communication system security; Communication system software; Computer science; Computer security; Data encapsulation; Data security; Information security; Pixel; Quality of service; Software quality;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Assurance and Security, 2007. IAS 2007. Third International Symposium on
Conference_Location
Manchester
Print_ISBN
0-7695-2876-7
Electronic_ISBN
978-0-7695-2876-2
Type
conf
DOI
10.1109/IAS.2007.37
Filename
4299758
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