【作者】 李南；

【导师】 邹建成；

【作者基本信息】 北方工业大学 ， 计算机应用技术， 2005， 硕士

【摘要】 随着全球信息化程度的提高和电子商务逐渐走向实用,信息安全愈加为人们所重视。信息隐藏技术正是在这种背景下发展起来的。信息隐藏是一种将有用的或重要的信息隐藏于视频、音频或图像等当中以掩饰其存在,实现隐蔽通信或隐蔽标识的技术。 本文首先回顾了音频信息隐藏技术的发展历史、基本原理和研究现状。其后详细总结了人类听觉系统的特点。说明我们可以利用人类听觉器官的感觉冗余特性,将需要保密的信息隐藏到另外一个可以公开的音频之中。 音频置乱技术作为一种音频加密方法,可以应用于音频信息隐藏的预处理和后处理中。本文提出了一种基于Fibonacci变换的音频置乱方法。通过我们的实验可以看出,该方法置乱效果好,算法实现简单,计算速度快。并且该算法对于如严重的数据丢失,mp3压缩,加噪音等攻击有一定的鲁棒性。 数字水印是信息隐藏技术研究领域的一个重要分支,它的出现主要为了解决多媒体信息在网络上的版权保护问题。数字水印通过在原始资料中嵌入水印来标识该资料的所有权。嵌入的水印通常是有特殊意义的信息,如图像标志、文字或序列号等,用以识别多媒体信息的作者、所有者和发行者等。本文对三个具有代表性的音频水印算法:最低有效位(LSB)方法、相位水印方法和回声水印方法进行了深入的分析,并将它们与基于Fibonacci变换的置乱技术结合,提出了嵌入水印的新方法。大量实验说明,改进后的算法对于一些攻击(如重新量化、重采样、mp3压缩、和高斯噪声等)比通常的水印嵌入算法具有了更好的鲁棒性。更多还原

【Abstract】 With the development of information technology and the application of e-commerce, information security is being paid more attention by people. Information hiding is a technology which embeds the important data into digital video, audio or picture to hide the existence for anonymous communications.The thesis looks back on the development history of the information hiding firstly. Thereafter the thesis summarizes the characteristics of Human Auditory System (HAS). Then it indicates that people can make use of these characteristics to hide the secret data in a public audio.The audio scramble technology, which is an encryption method, can be used in the pretreatment of information hiding. The thesis presents a kind of digital audio scrambling method based on Fibonacci transformations. The Fibonacci transformation has periodicity, the scrambling effect is very good, the computing speed of the algorithm is fast and the algorithm can resist some attacks, such as serious data loss, mp3 compression and white noise.The digital watermark is an important branch of the information hiding technology. Its appearance is chiefly for solving the copyright protection matter of the multi-media product in network. Digital watermark is mainly through the built-in watermark in source data to mark the author, owner or publisher. The watermark can be image sign, text or serial number, etc. Based on the three representative watermark algorithms, namely, Least Significant Bit coding, Phase coding and Echo hiding, some novel watermark algorithms are introduced by using the Fibonacci transformation. Experiment results show that the algorithms are robust against various signal processing such as white noise, mp3 compression, re-sampling and re-quantifying.更多还原