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Abstract

Steganography is the enhancement of the historical approach in which messages were transmitted by hiding its existence. Steganography emphasizes on concealing the data in some carrier medium. During communication process typical lsb steganography is not a secure way for message transmission. So a first level secure DWT based steganographic technique is proposed in integration with neural network which is further optimized with genetic algorithm using a fitness function. The second level encryption is provided to the text which uses 2 fish algorithm for generating key and elgamal algorithm for encrypting text using key generated by 2 fish. This algorithm provides more security and better image quality. The effectiveness of the proposed method can be estimated by calculating the peak signal to noise ratio (psnr) and mean square error(MSE).

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Keywords

steganography, dwt, neural network, 2 fish, elgamal