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Secure and Incidental Distortion Tolerant Digital Signature for Image Authentication

机译:用于图像验证的安全和偶然的失真容忍数字签名

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摘要

In this paper, a secure and incidental distortion tolerant signature method for image authentication is proposed. The generation of authentication signature is based on Hotelling's T-square Statistic (HTS) via Principal Component Analysis (PCA) of block DCT coefficients. HTS values of all blocks construct a unique and stable "block-edge image", i.e., Structural and Statistical Signature (SSS). The characteristic of SSS is that it is short, and can tolerate content-preserving manipulations while keeping sensitive to content-changing attacks, and locate tampering easily. During signature matching, the Fisher criterion is used to obtain optimal threshold for automatically and universally distinguishing incidental manipulations from malicious attacks. Moreover, the security of SSS is achieved by encryption of the DCT coefficients with chaotic sequences before PCA. Experiments show that the novel method is effective for authentication.
机译:本文提出了一种安全的,偶然的,可容忍的图像签名认证方法。认证签名的生成是基于Hotelling的T平方统计量(HTS),通过块DCT系数的主成分分析(PCA)进行的。所有块的HTS值构成唯一且稳定的“块边缘图像”,即结构和统计签名(SSS)。 SSS的特点是它很短,并且可以容忍保留内容的操作,同时对内容更改攻击保持敏感,并且易于定位篡改。在签名匹配期间,费舍尔准则用于获得最佳阈值,以自动,普遍地区分意外操作与恶意攻击。此外,通过在PCA之前使用混沌序列对DCT系数进行加密,可以实现SSS的安全性。实验表明,该方法对认证有效。

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