一种基于部分骑士游的鲁棒音频隐写方法用于隐藏文本和图像信息

Dr/Abdulmalek Alqobaty
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引用次数: 0

摘要

互联网上数据传输的快速增长实现了对安全数据传输的需求。此外,还需要发送包含文本和图像的消息。隐写技术是在不影响数据质量的前提下实现安全通信的一种最有前途的技术。在本文中,我们提出了一种鲁棒的音频隐写方法,该方法使用4×8正方形块中的部分骑士游位置隐藏音频WAV文件中的文本和图像的秘密消息。封面音频分为4×8(或32个)音频样本块。秘密数据转换为位和选择4×8音频字节,然后可以隐藏4个字符的ASCII码。秘密数据块的隐藏是基于随机选择的起始音频字节,以及随机选择的32个预定义行程。如前所述,该算法基于随机选择的行程和随机选择的起始音频字节来改变音频字节的最低有效位(LSB)。然后,生成的隐写文件可以通过Internet等通信通道传输到接收端。接收到秘密消息后,执行提取过程,提取秘密消息。该算法是用c#编程语言实现的。用PSNR和MSE参数来评估算法的效率,并在实现后进行检查。该技术提供了高质量的峰值信噪比(PSNR)和信噪比(SNR)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Robust Audio Steganography Method Using Partial Knight Tour for Concealing Messages of Text and Image
The rapid growth in transfer of data over the Internet realized the need to secured data transmission. Moreover, there is a need to send message that contains a text and image. The steganography is the most promising technique for facilitating the secure communication without affecting the data quality. In this paper, we propose a robust audio steganography approach that hides secret messages of text and image in an audio WAV file using partial knight tour positions in 4×8 square blocks. The cover audio is divided into 4×8 (or 32) audio sample blocks. The secret data are converted to bits and selected 4×8 audio bytes then can hide ASCII codes of 4 characters. The hiding of secret data block is based on a random selected starting audio byte, and on a random selected tour of 32 predefined tours. The algorithm changes the least significant bit (LSB) of the audio bytes based, as mentioned, on randomly selected tours and randomly selected starting audio byte. The resulted stego file can be, then, transmitted over the communication channel such as Internet to the receiver side. After receiving, the extraction process is performed to extract the secret message. The proposed algorithm is implemented us[ing C# programming languages. The PSNR and MSE parameters are used to evaluate the efficiency of the proposed algorithm and they will be checked after implementation. The proposed technique provides a high quality of Peak Signal-to-Noise Ratio (PSNR) and Signal to Noise Ratio (SNR).
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