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Tri-layer stego for enhanced security - a keyless random approach

机译:三层隐身剑以增强安全性-无钥匙随机方法

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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:随着数字武器和弹药的发展越来越精细,互联网领域的善与恶之间的战争越来越艰巨。数字恐怖分子入侵原始数字资源领域总是很困难。在这场敏感的战斗中,许多爱国武器(例如密码学)被闯入者击败。由于这次失败,一个黑色突击队即隐写术通过对陌生人的暗杀宣告了一次有效的相遇。在本文中,已经提出了一种新颖的三层随机隐身技术,以增强抵抗任何类型蛮力的安全性。所提出的方法包括三个阶段。第一部分涉及采用像素统计守恒方法将数据嵌入二值图像。在第二级中,通过采用LSB技术,利用摩尔空间填充曲线将二进制隐身图像嵌入到灰度图像中。最后,使用希尔伯特空间填充曲线将灰色隐身图像固定为彩色图像,以生成最终的隐身图像。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),峰值信噪比(PSNR)和均值结构相似性指数(MSSIM),可以估算所提出的隐身系统的有效性。本文还说明了如何使用此算法增强安全性。

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