USE OF NEURAL NETWORKS FOR SECURITY PURPOSES

Authors

  • Vladyslav Kostianikov National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”, Ukraine
  • Aleksandr Korochkin National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”, Ukraine

Keywords:

artificial neural networks, physical access control system, security

Abstract

The article describes the security spheres and the possibility of using in these areas systems based on the technology of artificial neural networks. An overview of modern solutions and problems they solve is given. It is proposed to improve the system for physical security, namely the access control system using the technology of wrapped artificial neural network.

References

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Tramer`, F., Kurakin, A., Papernot, N., Goodfellow, I., Boneh, D., and McDaniel, P. (2018). Ensemble Adversarial Training: Attacks and Defenses.

Krizhevsky A, Sutskever I, Hinton G E. (2012). ImageNet Classification with Deep Convolutional Neural Networks. Advances in Neural Information Processing Systems.

Domínguez A.(2015). A History of the Convolution Operation Vol. 6, pp. 1-49.

LeCun Y.(1998). Gradient-based learning applied to document recognition.

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Published

2023-06-08

Issue

Section

Machine learning, Big Data