A speaker verification system automatically accepts or rejects a claimed identity of a speaker based on a speech sample. Recently, a major progress was made in speaker verification which leads to mass market adoption, such as in smartphone and in online commerce for user authentication. A major concern when deploying speaker verification technology is whether a system is robust against spoofing...

While multimodal biometric systems were commonly believed to be intrinsically more robust to spoof attacks than unimodal systems, recent results provided clear evidence that they can be evaded by spoofing a single biometric trait. This pointed out that also multimodal systems require specific anti-spoofing measures. In this chapter we introduce the issue of multimodal anti-spoofing, and give an...

Mobile application spoofing is an attack where a malicious mobile app mimics the visual appearance of another one. A common example of mobile application spoofing is a phishing attack where the adversary tricks the user into revealing her password to a malicious app that resembles the legitimate one. In this paper, we propose a novel spoofing detection approach, tailored to the protection of mo...

It is well known that automatic speaker verification (ASV) systems can be vulnerable to spoofing. The community has responded to the threat by developing dedicated countermeasures aimed at detecting spoofing attacks. Progress in this area has accelerated over recent years, partly as a result of the first standard evaluation, ASVspoof 2015, which focused on spoofing detection in isolation from A...

In recent years face recognition has been the important factor in biometric authentication. Significant progress has been made in the area of face spoofing detection. In practical application, the problem of spoofing attacks can be threatened to face biometric systems which is used for authentication. Kernel Discriminate Analysis(KDA) is effective in detecting the face spoofing detection. Kerne...

Biometrics is an emerging technology that enables uniquely recognizing humans based upon one or more intrinsic physiological or behavioral characteristics, such as faces, fingerprints, irises, voices (Ross et al., 2006). However, spoofing attack (or copy attack) is still a fatal threat for biometric authentication systems (Schukers, 2002). Liveness detection, which aims at recognition of human ...

The anti-spoofing community has been intensively proposing new methods for defending against new spoofing techniques. It is still challenging for protecting näıve users from advanced spoofing attacks. In this paper, we analyze the problems within those anti-spoofing mechanisms and propose a new Automatic Detecting Security Indicator (ADSI) scheme. This paper describe the trust model in ADSI in ...

The anti-spoofing community has been intensively proposing new methods for defending against new web-spoofing techniques. In this paper, we analyze the problems within current anti-spoofing mechanisms, and propose a new SSL protected trust model. Then, we describe the attacks on SSL protected trusted communication. In this paper, we also propose the new Automatic Detecting Security Indicator sc...