Applying AWGN MP3 Steganography Attack in BiLSB and SLSB Techniques

Abstract

Steganography is considered as an advanced emerging method due to its ability to ensure secured data transmission based on embedding the required secret data in digital multimedia files. The most appropriate mediums for steganography is audio files because of its high rates of data transmission and high redundancy level. Various steganography methods have been introduced to ensure the transmission of data in a secured way. Nevertheless, some of those methods, such as the Standard Least Significant Bit (SLSB) technique have some problems concerning the verification of attacks in the secret messages. Thus, this paper aims to compre between two techniques SLSB and BiLSB to privew which one is more secure. The performance of the developed technique is evaluated based on Additive white Gaussian noise (AWGN) with two variance values; 0.3 and 0.5 bits/sec/Hz to the extracted messages and comparing the performance of this technique with that of the SLSB technique based on hiding the same secret message in the same cover messages. Results demonstrated that the Bi-LSB technique outperforms the SLSB one in terms of PSNR values with and withut adding the attack. In addition, there is a noticed degredation after adding the noise, where the percentage of the degredation is higher for noise with 0.3 variance than that with 0.5 variance for both techniques; Bi-LSB and SLSB.

Pitch and Fourier magnitude based steganography for hiding 2.4 kbps MELP bitstream

“…Therefore, we can use the LSB of as the payload for embedding information. Formally, , which represents the stego speech , can be written as follows:As mentioned in [36] and detailed in [21], the stego speech can be modelled as additive white Gaussian noise, as mainly utilised in information theory to resemble the impact of random natural processes. The additive property comes from the fact that this model is added for any noise, which may be inherent for information systems.…”