SPOOFING DETECTION USING CONVOLUTIONAL NEURAL NETWORKS
D. V. Pakulich1,2, S. A. Alyamkin2
1Novosibirsk State University, Novosibirsk, Russia
2Expasoft LLC, Novosibirsk, Russia
Keywords: convolutional neural networks, recognition of spoofing attacks, deep neural networks, computer vision
Abstract
The increased usage of computer vision for biometric identification systems and as a security measure leads to an increase in attempts of falsification. In this regard, the number of ways to automatically detect such situations is also increasing. However, the accuracy of the detection of spoofing attacks can be reduced in some cases like in other systems that use computer vision. In the present study, the existing approaches to the detection of spoofing attacks are considered, and an assessment of their resistance to changes in the conditions of data recording is given.
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