An New Approach For Image Steganography Using LSB and BPSO Optimization

Chetna Sharma; Inderdeep Kaur

Abstract

Abstract Presently, the technologies are evolving with high speed and everyday new innovations are done. As large amount of information shared between different users over the internet therefore the sharing of information is increasing day by day. In the conventional techniques of image steganography the idea of DCT and LSB approaches are used. But this technique is not optimum for securing the information. Thus, the BPSO optimization technique is proposed to determine the optimum bit or position in the data of the specific image. Benefit associated with the proposed technique is that every time the BPSO technique will determine the appropriate position to hide the information content and this is not the way as the LSB technique performs therefore the proposed technique improves the security of data as it is not an easy task for the malevolent user to find out the bits inside the encoded message in the image. The proposed technique is compared with the traditional method in terms of PSNR (Peak Signal to Noise ratio), MSE (Mean Square Error) and results obtained has shown that it is quite higher than the conventional work. Comparison is also done in terms of Entropy and the result has shown that the proposed technique is effective than the traditional work. Keywords: Image steganography, Least Significant Bit, Binary Particle Swarm Optimization, PSNR, MSE, Entropy.

An New Approach For Image Steganography Using LSB and BPSO Optimization

Abstract

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Abstract

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