The digital information revolution has brought important changes in our society and life. Nowadays, large amount of data is transmitted over the network and if the data that is being transmitted is important, one should use secure technique like steganography to transmit it. Steganography is a method of hiding a secret message in a cover media such as text, image, audio etc. in a way that hides the existence of the secret data. This paper introduces new method for audio steganography. The proposed method works on the basis of low bit blind encoding scheme which is used to embed secret data into non-silent samples of wav audio file. Robustness and performance of the proposed scheme is investigated by performing experiments on different audio signals.

Steganography is the idea of hiding private, confidential, sensitive data or information within something that appears to be nothing out of the normal. In this paper we describe on how one can use the human vision system and pure steganography to increase the size of the data that we want to embed in the image. In this analysis, we focuses on the property of human vision system that help to increase the amount of data hiding in the bitmap (.bmp) and JPEG (.JPG) images practically. In this work, we enhance the work of LSB and try to come out with a better result for both image quality and the amount of data can be hidden inside it. We come out with two approaches; first one is the 3-3-2 approach without any limitations on the type of images being used and can reach up to 33.3% of size of hidden data, and the second one is the 4-4-4 approach which increase the amount up to 50% of hidden data from the size of image but with certain limitations on the type of images chosen.

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