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De-Noise Steganography by Enhancing the Cover Image: A Multi-Level Security Approach

机译:通过增强封面图像进行去噪隐写术:多级安全性方法

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摘要

A technique that combines both logic and craft only can survive long. A multi-level security mechanism by blending steganogrpahy and visual cryptography is proposed here. Hiding already encrypted data inside an image is of immense value. Encryption is done by visual cryptography and hiding is done through the proposed de-noise Steganography With Selected Noise Bit Replacement Technique (SNBR). By and large, hiding data inside an image makes distortion to the image that leads to suspicions. Instead, this technique tries to remove disturbance or noise that is already present in the image and enhances the cover image through replacing noise bits present in the cover image with secret. In view of the fact that we replace the noise bits with the secret, it improves the quality of the cover medium and consequently the cover seems innocuous. As a result it reduces the chance of steg-analysis. The proposed method called SNBR, uses a location map to guarantee the correct extraction of the secret data. The goal of this study is to avoid degradation of the cover and improve the confidentiality of the information being communicated. Experimental results show that the new method achieves good security and a higher peak signal to noise ratio for the same number of bits per pixel of embedded image.
机译:仅将逻辑和技巧结合在一起的技术可以长期生存。在这里,提出了一种将隐写密码和可视密码相结合的多级安全机制。将已经加密的数据隐藏在图像中具有巨大的价值。加密是通过视觉密码来完成的,而隐藏则是通过拟议的带有选定噪声位替换技术的降噪隐秘技术来完成的。大体上,将数据隐藏在图像内部会使图像失真,从而引起怀疑。取而代之的是,该技术试图通过秘密替换存在于封面图像中的噪声位来消除图像中已经存在的干扰或噪声,并增强封面图像。鉴于我们用秘密代替了噪声位这一事实,它提高了覆盖介质的质量,因此覆盖物看起来是无害的。结果,它减少了隐写分析的机会。所提出的称为SNBR的方法使用位置图来确保正确提取机密数据。这项研究的目的是避免封面质量下降并提高所传达信息的机密性。实验结果表明,对于嵌入图像的每个像素相同的位数,该新方法具有良好的安全性和更高的峰值信噪比。

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