Extracting embedded messages using adaptive steganography based on optimal syndrome-trellis decoding paths

Privacy protection is the key to maintaining the Internet of Things (IoT) communication strategy. Steganography is an important way to achieve covert communication that protects user data privacy. Steganalysis technology is the key to checking steganography security, and its ultimate goal is to extract embedded messages. Existing methods cannot extract under known cover images. To this end, this paper proposes a method of extracting embedded messages under known cover images. First, the syndrome-trellis encoding process is analyzed. Second, a decoding path in the syndrome trellis is obtained by using the stego sequence and a certain parity-check matrix, while the embedding process is simulated using the cover sequence and parity-check matrix. Since the decoding path obtained by the stego sequence and the correct parity-check matrix is optimal and has the least distortion, comparing the path consistency can quickly filter the coding parameters to determine the correct matrices, and embedded messages can be extracted correctly. The proposed method does not need to embed all possible messages for the second time, improving coding parameter recognition significantly. The experimental results show that the proposed method can identify syndrome-trellis coding parameters in stego images embedded by adaptive steganography quickly to realize embedded message extraction.     

基于共生特性的G.729A基音调制信息隐藏的检测

提出了一种G.729A自适应码本分组基音调制信息隐藏的检测算法.对语音码流的分析发现,通过基音预测进行信息隐藏将改变相邻语音帧中基音周期估计值的共生特性.通过量化这种共生特性,并经过PCA(Principal Component Analysis,主成分分析)降维获得对隐写检测敏感的特征向量.最后基于特征向量和SVM (Support Vector Machine,支持向量机)构建隐写检测器.对不同语音样本数据集的检测表明,当语音长度在2s及以上时,检测正确率均超过96%.此检测算法是一种有效的压缩域信息隐藏检测方法.     

一种可抵抗RS掩密分析方法的掩密算法

Fridrich提出的RS掩密分析方法,适合于检测采用随机嵌入的LSB掩密算法,不但可以检测信息的存在,还可以检测出嵌入信息的长度。文中对现有的空域LSB掩密算法加以改进,使改进后的算法可以抵抗RS攻击,从而进一步提高了LSB掩密算法的安全性。     

信息隐写与隐写分析研究框架探讨

文章分析了广义信息隐藏研究中存在的问题，提出引入全信息理论和模糊信息处理的思想进行研究-对信息空间从三个层面上进行了分类，将隐写和隐写分析问题放在信息空间中进行研究，建立了隐写分析研究框架.     

Quantum steganography with large payload based on entanglement swapping of χ-type entangled states

In this paper, we firstly propose a new simple method to calculate entanglement swapping of χ-type entangled states, and then present a novel quantum steganography protocol with large payload. The new protocol adopts entanglement swapping to build up the hidden channel within quantum secure direct communication with χ-type entangled states for securely transmitting secret messages. Comparing with the previous quantum steganographies, the capacity of the hidden channel is much higher, which is increased to eight bits. Meanwhile, due to the quantum uncertainty theorem and the no-cloning theorem its imperceptibility is proved to be great in the analysis, and its security is also analyzed in detail, which is proved that intercept-resend attack, measurement-resend attack, ancilla attack, man-in-the-middle attack or even Dos(Denial of Service) attack couldn't threaten it. As a result, the protocol can be applied in various fields of quantum communication.     

彩色JPEG图像的隐写分析

图像隐写分析的目的是检测图像中隐藏信息的存在性．JPEG图像的广泛使用使其成为一种重要的隐写载体，因而针对JPEG图像的隐写分析受到研究者们的广泛关注．本文基于彩色图像YCbCr颜色空间DCT系数的统计分布模型，提出一种彩色JPEG图像的隐写分析算法．通过计算载体图像和掩密图像DCT系数统计分布之间的鉴别信息，评估常见DCT域隐写术对载体图像DCT系数统计分布的改变．以统计分布模型参数为特征向量，采用支持向量机实现对载体图像和掩密图像的有效分类．实验结果表明，本文算法具有较高的检测率，性能优于使用Faxid所提出的彩色QMF统计量的隐写分析算法．     

大容量自适应隐写对抗的博弈研究

攻击方拥有自适应规范边信息条件下,如何提高大容量自适应隐写的安全性成为亟待解决的问题.本文对大容量自适应隐写方和攻击方进行博弈建模,分析了博弈均衡存在的条件,通过理论证明给出均衡局势下隐写对抗双方的混合策略和期望支付,最后利用仿真实验验证了理论分析的正确性.研究表明,攻击方的策略与嵌入的信息量无关,期望支付随着嵌入信息量的增加而增加;隐写方选择在载体中某位置进行较多嵌入的概率随着该位置的复杂度增加而增加且不为零.该结论对设计安全的大容量自适应隐写具有一定的指导意义.     

Double-Layer Data Embedding Scheme Based on Three-Pixel Differences

Steganography is a technique to hide the secret data into digital media without getting any unexpected notices. The traditional steganographic method, namely least significant bit (LSB) replacement, is a simple but insecure scheme. To overcome the traditional drawbacks, this paper proposes a steganographic scheme, which is called double-layer hiding method. The experimental results confirm that the proposed scheme achieves better hiding capacity with high ability of resisting security analysis.     

针对隐写分析冗余评估指标的属性约简算法

针对隐写分析评估指标体系中存在的知识冗余,提出了一种隐写分析评估指标的属性约简方法.在分析存在知识冗余的指标体系的基础上,采用BCC算法求出各评估指标初始区间及其约简,并用之将仿真实验数据离散化;之后将离散化矩阵作为HORAFA算法的输入,输出即得到最终的属性约简.仿真实验验证了该属性约简方法对冗余评估指标约简的有效性...