Predictable rain?: steganalysis of public-key steganography using wet paper codes

Matthias Carnein, Pascal Schöttle, Rainer Böhme
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引用次数: 6

Abstract

Symmetric steganographic communication requires a secret stego-key pre-shared between the communicating parties. Public-key steganography (PKS) overcomes this inconvenience. In this case, the steganographic security is based solely on the underlying asymmetric encryption function. This implies that the embedding positions are either public or hidden by clever coding, for instance using Wet Paper Codes (WPC), but with public code parameters. We show that using WPC with efficient encoding algorithms may leak information which can facilitate an attack. The public parameters allow an attacker to predict among the possible embedding positions the ones most likely used for embedding. This approach is independent of the embedding operation. We demonstrate it for the case of least significant bit (LSB) replacement and present two new variants of Weighted Stego-Image (WS) steganalysis specifically tailored to detect PKS using efficient WPC. Experiments show that our WS variants can detect PKS with higher accuracy than known methods, especially for low embedding rates. The attack is applicable even if a hybrid stegosystem is constructed and public-key cryptography is only used to encapsulate a secret stego-key.
可预测的雨吗?:使用湿纸密码的公钥隐写分析
对称隐写通信需要在通信双方之间预先共享一个秘密隐写密钥。公钥隐写术(PKS)克服了这一不便。在这种情况下,隐写安全性完全基于底层的非对称加密功能。这意味着嵌入位置要么是公开的,要么是通过巧妙的编码隐藏的,例如使用湿纸代码(WPC),但使用公开的代码参数。研究表明,使用高效编码算法的WPC可能会泄露信息,从而便于攻击。公共参数允许攻击者在可能的嵌入位置中预测最有可能用于嵌入的位置。这种方法独立于嵌入操作。我们在最低有效位(LSB)替换的情况下进行了演示,并提出了两种新的加权隐写图像(WS)隐写分析变体,专门用于使用高效的WPC检测PKS。实验表明,我们的WS变体可以比已知方法更准确地检测PKS,特别是在低嵌入率的情况下。即使构造了混合隐密系统,并且仅使用公钥加密来封装秘密隐密密钥,这种攻击也适用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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