基于遗传算法的混沌音频文件图像隐藏方法

Azhar M. Kadim
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引用次数: 0

摘要

信息安全是当今世界信息技术和通信的重要组成部分之一。由于需要通过全球通信渠道和互联网传输信息,信息安全最近得到了很多关注。本研究采用遗传算法对混沌系统随机生成的混沌映射进行开发,寻找最佳的混沌映射,从而推断出图像数据的位置隐藏在音频中。在平均分辨率规格下,平均图像大小为64×64像素,用于隐藏在持续时间为7秒的音频记录中。结果表明,在739代生成的混沌映射中,其中一种映射在确定音频高频波段的图像字节隐藏位置方面效果最好。质量测量表明,包含隐藏图像的掩蔽音频与原始输入音频相差不大。这证实了所提出方法的有效性,并且根据信息安全概念选择了良好的隐藏位置。
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Image Hiding in an Audio File Using Chaotic Method via Genetic Algorithm
Information security is one of the most important parts of information technology and communication in the modern world. Information security has gained a lot of attention recently due to the need to transmit information through global communication channels and through the Internet. In this research, the genetic algorithm is used to develop the chaotic maps that are randomly generated by the chaotic system to find the best map by which the locations of image data are inferred to be hidden in the audio. An average image size of 64×64 pixels is used to be hidden in an audio recording of 7 seconds duration at average resolution specifications. The results show that one of the chaotic maps created at the 739 generations is the best in determining image byte hiding locations in the high-frequency band of the audio. The quality measures show the cover audio that includes the hidden image is not much different from the original input one. This confirms the validity of the proposed method and the good selection of hiding locations in accordance with information security concepts.
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