摘要
提出了一种利用数字音频作载体、高嵌入量的信息隐藏算法,将音频信号划分为若干个包含相同采样点的片段,对每个片段前两个采样点的振幅进行比较,根据机密信息的比特位,结合人类听觉系统的掩蔽效应,采取不改变或缩小音频信号振幅的方法嵌入机密信息。实验证明,该算法听觉相似性好、稳健性较强、嵌入数据量大,能自恢复提取机密信息,可抵抗常见的信号处理及攻击,如重采样、添加高斯噪声、低通滤波等。
This paper presents a high-rate information hiding algorithm using digital audio cover. The digital audio has been divided into several sections including the same samples, amplitude of the first two sample points of each section has been compared, according to secret message bit and amplitude comparison, combining the masking effect of HAS （ Human Auditory System）, and adopting the way of not changing or reducing amplitude of the sample point, the secret message has been embedded into the digital audio. The result demonstrates that the algorithm is robust, invisibility, high-rate hid-data and self-comeback extraction secret message. It is against common signal processing manipulations and attacks, such as resample, append Gaussian noise, low pass filter, and so on.
出处
《计算机应用研究》
CSCD
北大核心
2006年第5期29-30,33,共3页
Application Research of Computers
基金
国家自然科学基金资助项目(60373062)
教育部科研重点项目(03092)
湖南省杰出中青年基金资助项目(02JJYB012)
关键词
信息隐藏
数字音频
振幅比较
掩蔽效应
Information Hiding
Digital Audio
Amplitude Comparison
Masking Effect
