We study the problem of designing spoofing signals to corrupt and mislead the output of a Kalman filter. Unlike existing works that focus on detection and filtering algorithms for the observer, we study the problem from the attacker’s point-of-view. In our model, the attacker can corrupt the measurements by adding spoofing signals. The attacker seeks to create a separation between the estimate ...

The vulnerability of automatic speaker verification systems to imposture or spoofing is widely acknowledged. This paper shows that extremely high false alarm rates can be provoked by simple spoofing attacks with artificial, non-speech-like signals and highlights the need for spoofing countermeasures. We show that two new, but trivial countermeasures based on higher-level, dynamic features and v...

This paper describes the application of deep neural networks (DNN), trained to discriminate between human and spoofed speech signals, to improve the performance of spoofing detection. In this work we use amplitude, phase, linear prediction residual, and combined amplitude phase-based acoustic level features. First we train a DNN on the spoofing challenge training data to discriminate between hu...

In this paper, an improved secure address resolution protocol is presented where ARP spoofing attack is prevented. The proposed methodology is a centralised methodology for preventing ARP spoofing attack. In the proposed model there is a central server on a network or subnet which prevents ARP spoofing attack.

Face anti-spoofing (FAS) plays a vital role in securing face recognition systems. Existing methods heavily rely on the expert-designed networks, which may lead to sub-optimal solution for FAS task. Here we propose first method based neural architecture search (NAS), called NAS-FAS, discover well-suited task-aware networks. Unlike previous NAS works mainly focus developing efficient strategies g...

Automated border cont rol (ABC) is concerned with fast and secure processing for intelligence-led ident if icat ion. The FastPass proj ect aims to build a harmonised, modular reference system for future European ABC. When biometrics is taken on board as ident it y, spoofing at tacks become a concern. This paper presents current research in algorithm development for counter-spoofing at tacks in ...

The vulnerability of automatic speaker verification systems to imposture or spoofing is widely acknowledged. This paper shows that extremely high false alarm rates can be provoked by simple spoofing attacks with artificial, non-speech-like signals and highlights the need for spoofing countermeasures. We show that two new, but trivial countermeasures based on higher-level, dynamic features and v...