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A new approach for LSB based image steganography using secret key

机译:基于LSB的秘密密钥图像隐写术的新方法

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This paper introduces a best approach for Least Significant Bit (LSB) based on image steganography that enhances the existing LSB substitution techniques to improve the security level of hidden information. It is a new approach to substitute LSB of RGB true color image. The new security conception hides secret information within the LSB of image where a secret key encrypts the hidden information to protect it from unauthorized users. In general, in LSB methods, hidden information is stored into a specific position of LSB of image. For this reason, knowing the retrieval methods, anyone can extract the hidden information. In our paper, hidden information is stored into different position of LSB of image depending on the secret key. As a result, it is difficult to extract the hidden information knowing the retrieval methods. We have used the Peak Signal-to-Noise Ratio (PSNR) to measure the quality of the stego images. The value of PSNR gives better result because our proposed method changes very small number of bits of the image. The obtained results show that the proposed method results in LSB based image steganography using secret key which provides good security issue and PSNR value than general LSB based image steganography methods.
机译:本文介绍了一种基于图像隐写术的最低有效位(LSB)的最佳方法,该方法增强了现有的LSB替代技术,以提高隐藏信息的安全级别。这是一种替代RGB真彩色图像的LSB的新方法。新的安全概念将秘密信息隐藏在图像的LSB中,其中,秘密密钥对隐藏信息进行加密,以防止未经授权的用户使用它。通常,在LSB方法中,隐藏信息存储在图像LSB的特定位置。因此,知道了检索方法的任何人都可以提取隐藏的信息。在我们的论文中,根据秘密密钥,隐藏信息存储在图像的最低位的不同位置。结果,难以利用检索方法来提取隐藏信息。我们已经使用峰值信噪比(PSNR)来测量隐秘图像的质量。 PSNR的值给出了更好的结果,这是因为我们提出的方法只更改了很少的图像位数。获得的结果表明,与基于LSB的通用图像隐秘方法相比,该方法可实现基于LSB的密钥加密方法,具有较好的安全性和PSNR值。

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