利用混沌系统增强两种空间隐写算法:比较分析

Dalia Battikh, S. E. Assad, B. Bakhache, O. Déforges, Mohamad Khalil
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引用次数: 2

摘要

本文对AE-LSB和EA-LSBMR两种空间隐写算法提出了一种基于混沌的增强算法,并对其性能进行了研究。第一种算法是利用像素值差分的自适应LSB (Least Significant Bit)隐写方法,它提供了大的嵌入容量和难以察觉的隐写图像。第二种方法是一种边缘自适应方案,该方案根据秘密信息的大小和封面图像中相邻像素的差值选择嵌入区域。这两种方法对恢复机密数据的攻击安全性较低。为了克服这一弱点,我们提出了一种增强这些方法的消息安全性的方法。增强包括使用一个有效的混沌系统以伪混沌的方式选择隐藏信息的像素点。这样,插入的消息就不会受到消息恢复攻击,并以统一的方式分布在整个映像中。实验表明,该算法的安全性得到了提高。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Enhancement of two spatial steganography algorithms by using a chaotic system: Comparative analysis
In this paper we propose a chaos-based enhancement of two spatial steganographic algorithms the AE-LSB and the EA-LSBMR and we study their performances. The first algorithm is an adaptive LSB (Least Significant Bit) steganographic method using pixel value differencing that provides a large embedding capacity and imperceptible stego images. The second method is an edge adaptive scheme which can select the embedding region according to the size of secret message and the difference between two adjacent pixels in the cover image. The two methods suffer from low security against attacks to recover secret data. To overcome this weakness, we propose an enhancement of the message security of these methods. The enhancement consists by using an efficient chaotic system to choose in a pseudo-chaotic manner, the pixels in the cover image where the bits of the secret message will be embedded. In this way, the inserted message becomes secure against message recovery attacks and spread over the whole image in a uniform manner. Experiments show that the security of the algorithms is increased.
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