In this paper a novel speaker verification spoofing countermeasure based on analysis of linear prediction error is presented. The method analyses the energy of the prediction error, prediction gain and temporal parameters related to the prediction error signal. The idea of the proposed algorithm and its implementation is described in detail. Various binary classifiers were researched to separat...

Automatic Speaker Verification (ASV) systems are prone to spoofing attacks of various kinds. In this study, we explore the effects of different features and spoofing algorithms on a state-of-the-art i-vector speaker verification system. Our study is based on the standard dataset and evaluation protocols released as part of the ASVspoof 2015 challenge. We compare how different features perform w...

Spoofing detection for automatic speaker verification (ASV), which is to discriminate between live and artificial speech, has received increasing attentions recently. However, the previous studies have been done on the clean data without significant noise. It is still not clear whether the spoofing detectors trained on clean speech can generalise well under noisy conditions. In this work, we pe...

Face anti-spoofing is crucial to prevent face recognition systems from a security breach. Previous deep learning approaches formulate face anti-spoofing as a binary classification problem. Many of them struggle to grasp adequate spoofing cues and generalize poorly. In this paper, we argue the importance of auxiliary supervision to guide the learning toward discriminative and generalizable cues....

In this paper, we describe a system for detecting spoofing attacks on speaker verification systems. By spoofing we mean an attempt to impersonate a legitimate user. We focus on detecting if the test segment is a far-field microphone recording of the victim. This kind of attack is of critical importance in security applications like access to bank accounts. We present experiments on databases cr...

The Internet Protocol (IP) is the source of Internet transmission but an inadequate authentication technique paves a way for IP spoofing. Since, IP spoofing initiates more attacks in the network, a secure authentication technique is required to defend against spoofing attacks. In order to achieve this, in this paper, we p ropose a (SVT) for defending IP spoofing attacks. Our technique authentic...

In biometrics, Fingerprint is widely used in identification of individual’s identity. Biometric recognition is leading technology for identification and security systems. Fingerprint has unique identification among all other biometric modalities. Use of the fingerprints as biometric characteristics is extensively used and developed for fingerprint recognition in forensic, civilian and commercia...

Spoofing attack which easily attack the network and reduce the performance of the network. In this Paper, Spoofing attacks are detected, Finding the number of attackers that masquerade the node identity, Localizing all the attackers node and calculate the speed of a node, by using RSS (received signal strength) for spoofing detection. The number of attacker is determined by clusterbased method....

Biometric systems based on face recognition have been shown unreliable under the presence of face-spoofing images. Hence, automatic solutions for spoofing detection became necessary. In this paper, face-spoofing detection is proposed by searching for Moiré patterns due to the overlap of the digital grids. The conditions under which these patterns arise are first described, and their detection i...

Wireless networks are vulnerable to spoofing attacks, which allows for many other forms of attacks on the networks. A spoofing attack is the most common online attack in which one person or program successfully masquerades as another by falsifying data and thereby gaining an illegitimate advantage, it become more sophisticated defense mechanisms. Although the identity of a node can be verified ...