Research On Steganography Algorithm For Public Digital Audio

Steganography is an important technique in information security. Steganography refers to the embedding of the secret information into multimedia carriers such as image, audio, video, by taking advantage of the masking effect of human audio-visual system, and the transmission through public channels, in order to realize the unknown covert communication.According to three different public digital audio formats, three corresponding digital audio steganography algorithms are proposed, which are strongly targeted.A steganography algorithm based on amplitude modifying for WAV audio is proposed. Amplitude values of each sampling point group are compared in original audio. While amplitude values are modified, the secret information bits are embedded. Embedding strength can be adjusted according to the key. Simulation results demonstrate that hiding capacity of this algorithm is large and good invisibility can be achieved. The anti-steganalysis ability of this algorithm is good. The specific application of this algorithm is showed too: a piece of software for covert communication on the platform of mobile phone.A steganography algorithm based on XOR parity of the quantized coefficients for AAC audio is proposed. By partial decoding, while XOR parities of the four quantized coefficients of table three and table four are modified, the secret information bits are embedded. Simulation results demonstrate that hiding capacity of this algorithm is large. Under the same embedding payload, the performance of invisibility and security of this algorithm is better than the similar algorithm. The specific application of this algorithm is showed too: a piece of software for covert communication on audio and video of 2D/3D H.264.A steganography algorithm based on the sign bit of quantized coefficients in count1 region for MP3 audio is proposed. Three kinds of quantized coefficients are encoded in count1 region:-1, 0, and 1. While the sign bits of the fourth quantized coefficient of each group in count1 region are modified, the secret information bits are embedded. Simulation results demonstrate that hiding capacity of this algorithm is large and and good invisibility can be achieved. The anti-steganalysis ability of this algorithm is good. Meanwhile, the embedding condition can be adjusted according to the actual situation, in order to obtain a larger hiding capacity.