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A Hypothesis Testing Approach for Achieving Semi-fragility in Multimedia Authentication

机译:在多媒体认证中实现半脆弱性的假设测试方法

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This paper studies the problem of achieving watermark semi-fragility in multimedia authentication through a composite hypothesis testing approach. The embedding of a semi-fragile watermark serves to distinguish legitimate distortions caused by signal processing manipulations from illegitimate ones caused by malicious tampering. This leads us to consider authentication verification as a composite hypothesis testing problem with the watermark as a priori information. Based on the hypothesis testing model, we investigate the best embedding strategy which assists the watermark verifier to make correct decisions. Our results show that the quantization-based watermarking method is more appropriate than the spread spectrum method to achieve the best tradeoff between two error probabilities. This observation is confirmed by a case study of additive Gaussian white noise channel with Gaussian source using two figures of merit: relative entropy of the two hypothesis distributions and the receiver operating characteristic. Finally, we focus on certain common signal processing distortions such as JPEG compression and image filtering, and investigate the best test statistic and optimal decision regions to distinguish legitimate and illegitimate distortions. The results of the paper show that our approach provides insights for authentication watermarking and allows better control of semi-fragility in specific applications.
机译:本文研究了一种通过复合假设检验方法在多媒体认证中实现水印半脆弱性的问题。嵌入半脆弱水印可区分信号处理操作引起的合法失真与恶意篡改造成的非法失真。这使我们考虑将身份验证验证视为一个以水印作为先验信息的复合假设检验问题。基于假设检验模型,我们研究了最佳嵌入策略,该策略有助于水印验证者做出正确的决策。我们的结果表明,基于量化的水印方法比扩频方法更适合在两个误差概率之间实现最佳折衷。通过使用两个品质因数:两个假设分布的相对熵和接收器工作特性,对具有高斯源的加性高斯白噪声信道进行了案例研究,证实了这一观察结果。最后,我们关注某些常见的信号处理失真,例如JPEG压缩和图像过滤,并研究最佳测试统计量和最佳决策区域,以区分合法失真和非法失真。论文的结果表明,我们的方法为身份验证水印提供了见识,并允许在特定应用中更好地控制半脆弱性。

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