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Tri-Layer Stego for Enhanced Security - A Keyless Random Approach

机译:增强安全性的三层stego - 无钥匙随机方法

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摘要

War between the good and evil in the internet ground is increasingly tougher as more and more refined evolution takes place in the digital arms and ammunitions. The intrusion of digital terrorists in the territory of original digital source is always very hard to combat In this sensitive battle many patriotic weapons such as cryptography are defeated by the interlopers. As a consequence of this defeat, a black commando namely steganography has declared an effective encounter by hidden assault on the strangers. In this paper a novel tri-layer random stego technique has been proposed for enhanced security against any type of brute force. The proposed method consists of three stages. The first part involves embedding of data in binary image with pixel statistics conservation method. In the second level, the binary-stego image is embedded into a gray image employing Moore Space Filling Curve by adapting LSB technique. Finally, the gray stego image is infixed into a color image using Hilbert Space Filling Curve to produce the final color stego. Experimental results show that the proposed multi stage process remarkably improves the security level. The effectiveness of the proposed stego system has been estimated by computing bit error rate (BER), Mean square error (MSE), Peak Signal to Noise Ratio (PSNR) and Mean Structural Similarity index (MSSIM). This paper also illustrates how security has been enhanced using this algorithm.
机译:互联网地面之间的善与恶之间的战争越来越强烈,因为在数字武器和弹药中发生了越来越多的精致演变。在原始数字来源领土的数字恐怖分子的侵入总是很难在这种敏感的战斗中打击,许多激光学等爱国武器被监视员击败。由于这一失败,黑色突击队即隐士宣布了陌生人的隐藏袭击宣布有效遭遇。本文已经提出了一种新的三层随机的STEGO技术,以提高任何类型的蛮力的安全性。所提出的方法由三个阶段组成。第一部分涉及以像素统计节约方法嵌入二进制图像中的数据。在第二级,通过调整LSB技术,将二进制-Stego图像嵌入采用Moore Space填充曲线的灰色图像中。最后,使用Hilbert Space填充曲线浸入灰色的Sego图像中的彩色图像,以产生最终的彩色stego。实验结果表明,所提出的多阶段过程显着提高了安全级别。通过计算误码率(BER),均方误差(MSE),峰值信号到噪声比(PSNR)和平均结构相似度指数(MSSIM)来估计所提出的STEGO系统的有效性。本文还说明了使用该算法如何增强安全性。

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