图像信息隐藏与隐藏分析算法研究
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摘要
信息隐藏技术(Information Hiding or Steganography)与信息隐藏分析(Steganalysis)技术是信息隐藏领域两个重要分支。
信息隐藏是将秘密信息(Secret information)隐藏在载体文件(Cover files)中形成载密文件,以达到保护载体或者隐藏秘密信息的目的。载体文件可以是数字文本、数字图像、数字音频和数字多媒体等。
与信息隐藏技术相反,信息隐藏分析技术是判断测试文件中是否隐藏有秘密信息,分析隐藏信息的量以及恢复秘密信息。信息隐藏分析的主要目的是对隐藏的信息进行分析和检测。它是防止非法信息传播的重要手段,也是评价信息隐藏算法安全性的重要措施之一
以数字图像为载体的信息隐藏研究已成为信息安全领域研究的热点。本文在了解图像信息隐藏研究的前沿,深入分析了图像信息隐藏本质和最新研究成果的基础上,研究了数字图像的统计性质,提出了一些数字图像信息隐藏算法和信息隐藏分析算法。本文的主要的研究成果和创新表现在：
1.信息隐藏算法
在空域中,通过分析与研究图像比特层面的相关性,相邻像素层面的相关性以及空域信息隐藏算法的不足,设计出一种可抗SPA分析的非对称LSB信息隐藏算法。分析与实验结果表明ALRS方法能够有效的抵抗SPA方法分析,其准确性、灵活性和计算效率等优于同类信息隐藏算法。
在频域中,通过分析与研究相邻像素层面的相关性,频域系数的分布特性以及YASS算法固定划分父块的不足,设计出RASA信息隐藏算法。在RASA算法隐藏过程中,父块的大小随密钥变化。实验结果表明RASA算法的安全性更高。
2.信息隐藏分析算法
在频域中,通过分析频域系数的分布特性以及图像行列系数变化与其频域系数的相关性,结合F5信息隐藏算法的特点,设计出一种针对F5的图像信息隐藏分析算法(FSF算法)。该算法能够得到更好的原始图像的估计值。实验结果表明：该算法的性能更稳定,精确度更高。
在研究了图像行列系数变化与其频域系数的相关性基础上,结合目前求解双重压缩初始矩阵方法的不足,提出了信息隐藏分析中的初始矩阵的求解算法CM算法。该算法通过均值方式求解双重压缩图像的原始图像,然后将得到的新图像进行双重压缩,对比原有的双重压缩图像,来确定双重压缩的初始量化矩阵。实验结果表明CM算法是一种非常有效算法。
There are the two important branchs in the field of information hiding technology, which is information Hiding or Steganography and steganalysis.
Information hiding will embed secret information in the cover files and form the stego files, in order to protect the cover files or hide secret information. The cover files can be digital text, digital images, digital audio and digital multimedia.
On the other hand, steganalysis will detect whether to hide secret information or not, what is the amount of the secret information, as well as how to recover the secret information. The detection of hidden information is the main purpose of the steganalysis. It is an important means to prevent illegal dissemination of information, but also is the measure to evaluate the information hiding algorithm security.
Information hiding of the digital images has become a hot spot of the field of information security. The information hiding algorithm and information hiding analysis algorithms of digital images are proposed on the basis of the understanding forefront of research of information hiding, in-depth analysis of the essence and the latest research results of information hiding and the statistical nature of the digital images. The main research results are as followed:
1. Information hiding algorithms
In the spatial domain, through the analysis of the correlation of images bit-level and the relation of adjacent pixels level, it is proposed which is an asymmetric LSB information hiding algorithm of resisting SPA(ALRS method). The analysis and experimental results show that ALRS can effectively resist the SPA analysis and is more than similar information hiding algorithm in the accuracy, flexibility and computational efficiency.
In the frequency domain, through the analysis of correlation of adjacent pixels level, the distribution characteristics of frequency domain coefficients, as well as the defect of the YASS algorithm, it is presented by RASA algorithm. In the RASA algorithm, the size of the parent block will change with the key. Experimental results show that the security of the RASA algorithm has been improved greatly.
2. Steganalysis algorithms
By analyzing the distribution of image features and correlation of size of image and its frequency domain coefficients, it is designed by a steganalysis of information hiding For F5(FSF algorithm) combining with F5hidden features of the algorithm,. The experimental results show that the performance of FSF algorithm is more stable and higher accuracy.
Based on the correlation of size of image and its frequency domain coefficients, it is proposd by a method of calculating primary quantization matrix of JPEG(CM algorithm). The approximation of the original image in the CM algorithm can be get more stable than others. The experimental results show that the CM algorithm is more effective algorithm.
信息隐藏是将秘密信息(Secret information)隐藏在载体文件(Cover files)中形成载密文件,以达到保护载体或者隐藏秘密信息的目的。载体文件可以是数字文本、数字图像、数字音频和数字多媒体等。
与信息隐藏技术相反,信息隐藏分析技术是判断测试文件中是否隐藏有秘密信息,分析隐藏信息的量以及恢复秘密信息。信息隐藏分析的主要目的是对隐藏的信息进行分析和检测。它是防止非法信息传播的重要手段,也是评价信息隐藏算法安全性的重要措施之一
以数字图像为载体的信息隐藏研究已成为信息安全领域研究的热点。本文在了解图像信息隐藏研究的前沿,深入分析了图像信息隐藏本质和最新研究成果的基础上,研究了数字图像的统计性质,提出了一些数字图像信息隐藏算法和信息隐藏分析算法。本文的主要的研究成果和创新表现在：
1.信息隐藏算法
在空域中,通过分析与研究图像比特层面的相关性,相邻像素层面的相关性以及空域信息隐藏算法的不足,设计出一种可抗SPA分析的非对称LSB信息隐藏算法。分析与实验结果表明ALRS方法能够有效的抵抗SPA方法分析,其准确性、灵活性和计算效率等优于同类信息隐藏算法。
在频域中,通过分析与研究相邻像素层面的相关性,频域系数的分布特性以及YASS算法固定划分父块的不足,设计出RASA信息隐藏算法。在RASA算法隐藏过程中,父块的大小随密钥变化。实验结果表明RASA算法的安全性更高。
2.信息隐藏分析算法
在频域中,通过分析频域系数的分布特性以及图像行列系数变化与其频域系数的相关性,结合F5信息隐藏算法的特点,设计出一种针对F5的图像信息隐藏分析算法(FSF算法)。该算法能够得到更好的原始图像的估计值。实验结果表明：该算法的性能更稳定,精确度更高。
在研究了图像行列系数变化与其频域系数的相关性基础上,结合目前求解双重压缩初始矩阵方法的不足,提出了信息隐藏分析中的初始矩阵的求解算法CM算法。该算法通过均值方式求解双重压缩图像的原始图像,然后将得到的新图像进行双重压缩,对比原有的双重压缩图像,来确定双重压缩的初始量化矩阵。实验结果表明CM算法是一种非常有效算法。
There are the two important branchs in the field of information hiding technology, which is information Hiding or Steganography and steganalysis.
Information hiding will embed secret information in the cover files and form the stego files, in order to protect the cover files or hide secret information. The cover files can be digital text, digital images, digital audio and digital multimedia.
On the other hand, steganalysis will detect whether to hide secret information or not, what is the amount of the secret information, as well as how to recover the secret information. The detection of hidden information is the main purpose of the steganalysis. It is an important means to prevent illegal dissemination of information, but also is the measure to evaluate the information hiding algorithm security.
Information hiding of the digital images has become a hot spot of the field of information security. The information hiding algorithm and information hiding analysis algorithms of digital images are proposed on the basis of the understanding forefront of research of information hiding, in-depth analysis of the essence and the latest research results of information hiding and the statistical nature of the digital images. The main research results are as followed:
1. Information hiding algorithms
In the spatial domain, through the analysis of the correlation of images bit-level and the relation of adjacent pixels level, it is proposed which is an asymmetric LSB information hiding algorithm of resisting SPA(ALRS method). The analysis and experimental results show that ALRS can effectively resist the SPA analysis and is more than similar information hiding algorithm in the accuracy, flexibility and computational efficiency.
In the frequency domain, through the analysis of correlation of adjacent pixels level, the distribution characteristics of frequency domain coefficients, as well as the defect of the YASS algorithm, it is presented by RASA algorithm. In the RASA algorithm, the size of the parent block will change with the key. Experimental results show that the security of the RASA algorithm has been improved greatly.
2. Steganalysis algorithms
By analyzing the distribution of image features and correlation of size of image and its frequency domain coefficients, it is designed by a steganalysis of information hiding For F5(FSF algorithm) combining with F5hidden features of the algorithm,. The experimental results show that the performance of FSF algorithm is more stable and higher accuracy.
Based on the correlation of size of image and its frequency domain coefficients, it is proposd by a method of calculating primary quantization matrix of JPEG(CM algorithm). The approximation of the original image in the CM algorithm can be get more stable than others. The experimental results show that the CM algorithm is more effective algorithm.
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