论文标题

一项针对对抗重播攻击的对策的研究

A Study of Using Cepstrogram for Countermeasure Against Replay Attacks

论文作者

Lee, Shih-Kuang, Tsao, Yu, Wang, Hsin-Min

论文摘要

这项研究调查了Cepstrogram属性,并证明了它们的有效性是针对重播攻击的强大对策。对重播攻击的CEPSTRUM分析表明,在CEPSTROGRAM中可以保留用于反欺骗反对重击攻击的关键信息。在建立反重播攻击的对策时,ASVSPOOF 2019物理访问数据库的实验表明,在单个和融合系统中,Cepstrogram比其他功能更有效。我们具有CEPSTROGRAM功能的基于LCNN的单一和融合系统的表现优于基于LCNN的系统,而没有CEPSTROGRAGIN功能,并且文献中的几个最先进的单个和融合系统。

This study investigated the cepstrogram properties and demonstrated their effectiveness as powerful countermeasures against replay attacks. A cepstrum analysis of replay attacks suggests that crucial information for anti-spoofing against replay attacks may be retained in the cepstrogram. When building countermeasures against replay attacks, experiments on the ASVspoof 2019 physical access database demonstrate that the cepstrogram is more effective than other features in both single and fusion systems. Our LCNN-based single and fusion systems with the cepstrogram feature outperformed the corresponding LCNN-based systems without the cepstrogram feature and several state-of-the-art single and fusion systems in the literature.

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