关键词: 信息隐藏, 人耳听觉系统, 掩蔽效应, 心理声学模型, 嵌入容量, 最低有效位, 信噪比, 归一化相关系数, 位错误率

Abstract: With the main purpose of improving the embedding capacity and concealment, using Human Auditory System (HAS) masking properties, an audio steganography algorithm based on lifting wavelet transform and matrix coding to embed secret information was proposed. MPEG Ⅰ audio psychoacoustic model 1 was used to control embedding frames, middle and low frequency coefficients of lifting wavelet transform was choosen to host audio signal, and matrix coding which could improve embedding efficiency and decrease modified proportion was exploited to realize the secret information hiding. The simulation experimental results show that the algorithm not only has excellent concealment and embedding capacity, but also good robustness against noise addition, low pass filtering, resampling, MP3 compression and synchronization attack. Meanwhile, the method can realize blind extraction.

Key words: information hiding, Human Auditory System (HAS), masking effect, psychoacoustics model, embedding capacity, Least Significant Bit (LSB), Noise-Signal Ratio (SNR), normalized correlation coefficient, Bit Error Rate (BER)