Applications based on biometric authentication have received a lot of interest in the last years due to the breathtaking results obtained using personal traits such as face or fingerprint. However, it is important not to forget that these biometric systems have to withstand different types of possible attacks. This chapter carries out an analysis of different Presentation Attack (PA) scenarios for on-line handwritten signature verification. The main contributions of this chapter are: i) an updated overview of representative methods for Presentation Attack Detection (PAD) in signature biometrics; ii) a description of the different levels of PAs existing in on-line signature verification regarding the amount of information available to the impostor, as well as the training, effort, and ability to perform the forgeries; and iii) an evaluation of the system performance in signature biometrics under different scenarios considering recent publicly available signature databases, DeepSignDB and SVC2021_EvalDB. This work is in line with recent efforts in the Common Criteria standardization community towards security evaluation of biometric systems.

翻译：基于生物特征认证的应用近年来备受关注，这得益于人脸或指纹等个人特征取得的惊人成果。然而，必须认识到这些生物特征系统需抵御不同类型的潜在攻击。本章对在线手写签名验证中的不同呈现攻击（PA）场景进行了分析。主要贡献包括：i) 更新了签名生物特征中呈现攻击检测（PAD）代表性方法的概述；ii) 描述了在线签名验证中基于攻击者可用信息量、训练程度、伪造能力及努力程度的不同PA等级；iii) 基于最新公开签名数据库DeepSignDB和SVC2021_EvalDB，评估了不同场景下签名生物特征系统的性能。本研究与通用标准标准化社区近期在生物特征系统安全评估方面的工作保持一致。