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An information hidden model holding cover distributions

机译:信息隐藏模型包含封面分布

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摘要

The goal of steganography is to embed secret data into a cover so no one apart from the sender and intended recipients can find the secret data. Usually, the way the cover changing was decided by a hidden function. There were no existing model could be used to find an optimal function which can greatly reduce the distortion the cover suffered. This paper considers the cover carrying secret message as a random Markov chain, taking the advantages of a deterministic relation between initial distributions and transferring matrix of the Markov chain, and takes the transferring matrix as a constriction to decrease statistical distortion the cover suffered in the process of information hiding. Furthermore, a hidden function is designed and the transferring matrix is also presented to be a matrix from the original cover to the stego cover. Experiment results show that the new model preserves a consistent statistical characterizations of original and stego cover.
机译:隐秘术的目的是将机密数据嵌入封面中,这样,除了发送者和预期的接收者之外,没有人可以找到机密数据。通常,封面的更换方式由隐藏功能决定。没有可用的现有模型来找到最佳功能,该最佳功能可以极大地减少覆盖物遭受的变形。本文将带有秘密信息的掩护视为一个随机的马尔可夫链,利用了初始分布与马尔可夫链的传递矩阵之间具有确定性关系的优势,并以传递矩阵为约束来减少掩护过程中遭受的统计失真。信息隐藏。此外,还设计了一个隐藏函数,并将传递矩阵表示为从原始封面到隐秘封面的矩阵。实验结果表明,新模型保留了原始掩盖和隐身掩盖的一致统计特征。

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