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A robust steganographic technique based on improved chaoticrange systems

机译:一种基于改进ChaoticRange系统的坚固的隐写技术

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This paper presents a novel chaos-based technique of steganography in spatial domain. In the last decade, chaos theory has gained utmost importance in multimedia security applications. Generally, 1-D chaotic maps are employed because of computational ease and structural simplicity but their limited chaotic range is an obstacle. In the proposed work, we model the nonlinear combinations of 1-D chaotic maps. These chaotic systems possess chaotic behavior throughout the domain. We, for the first time, propose an effective application of these improved chaotic systems in steganography. These newly synthesized systems are used to embed secret information in the least significant bits (LSBs) of the host image. By comparing with some recent models, we prove that involving improved chaotic systems in steganographic approach really produces extraordinary outcomes. We determine the strength of our steganographic algorithm through the most significant statistical analyses such as information entropy, correlation, contrast, energy, homogeneity, peak signal to noise ratio (PSNR) and mean square error (MSE). We further prove the robustness of the anticipated technique against several image processing attacks. The upshot of these analysis techniques shows that our algorithm is highly reliable and produces coherent results.
机译:本文介绍了空间域中的书记基于CHAOS的基于混沌技术。在过去十年中,混沌理论在多媒体安全应用中获得了最重要的。通常,采用1-D混沌映射,因为计算易于和结构简单,但它们有限的混沌范围是障碍。在拟议的工作中,我们模拟了1-D混沌映射的非线性组合。这些混沌系统在整个领域中具有混沌行为。我们首次提出有效地应用这些改进的混沌系统在隐写术中。这些新合成的系统用于嵌入主机图像的最低有效位(LSB)中的秘密信息。通过与最近的一些模型进行比较,我们证明了涉及改进的书签方法的混沌系统真正产生了非凡的结果。我们通过最重要的统计分析确定我们的隐写算法的强度,例如信息熵,相关性,对比度,能量,均匀性,峰值信号到噪声比(PSNR)和均方误差(MSE)。我们进一步证明了预期技术的鲁棒性,免于若干图像处理攻击。这些分析技术的结果表明,我们的算法高度可靠并产生连贯的结果。

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