A Perceptual Audio Hashing Algorithm: A Tool for Robust Audio Identification and Information Hiding
A Perceptual Audio Hashing Algorithm: A Tool for Robust Audio Identification and Information Hiding
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DOI：
10.1007/3-540-45496-9_5
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发表时间：
2001-04
期刊：
影响因子：
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通讯作者：
M. K. Mihçak;R. Venkatesan
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文献类型：
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作者：
M. K. Mihçak;R. Venkatesan
假设水印是可行的（比如，针对有限的一组重要的攻击），当前的方法使用密钥来生成和嵌入水印。然而，如果相同的密钥被用于对不同的项目加水印，则每个实例可能泄漏部分信息，并且有可能从加水印的项目的集合中提取整个秘密。因此，使用感知散列算法（具有自己的密钥）来导出内容相关密钥将是理想的，感知散列算法可以抵抗微小的变化，并且具有类似于加密MAC的随机性和不可预测性。这里的技术也有助于同步流以找到固定位置以防止插入和删除攻击。也就是说，可以在流中对帧加水印，并且可以使用带密钥的感知散列和该帧的已知值将自己同步到该帧。我们的技术可以用于识别音频片段以及数据库查找的方式耐格式化和压缩。我们提出了一种新的音频散列算法用于音频水印应用，使用信号处理和传统的算法分析（对对手）。
Assuming that watermarking is feasible (say, against a limited set of attacks of significant interest), current methods use a secret key to generate and embed a watermark. However, if the same key is used to watermark different items, then each instance may leak partial information and it is possible that one may extract the whole secret from a collection of watermarked items. Thus it will be ideal to derive content dependent keys, using aperceptualhashing algorithm (with its own secret key) that is resistant to small changes and otherwise having randomness and unpredictability properties analogous to cryptographic MACs.The techniques here are also useful forsynchronizingin streams to find fixed locations against insertion and deletion attacks. Say, one may watermark a frame in a stream and can synchronize oneself to that frame using keyed perceptual hash and a known value for that frame. Our techniques can be used foridentificationof audio clips as well asdatabase lookupsin a way resistant to formatting and compression. We propose a novel audio hashing algorithm to be used for audio watermarking applications, that uses signal processing and traditional algorithmic analysis (against an adversary).