Application of convolutional neural networks for preventing information leakage in open internet resources


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The architecture of convolutional neural networks has been considered, including the types of layers used and the principles of their operation, settings, and training features. The possibilities of applying this type of network to solve the problems of information leakage prevention in natural language have been described. The possibility of applying them to solve the problem of classifying Internet pages that serve as web resources to identify pages of interest has been studied.

作者简介

D. Zhukov

Moscow Technological University

编辑信件的主要联系方式.
Email: zhukovdm@yandex.ru
俄罗斯联邦, Moscow

D. Akimov

Moscow Technological University

Email: zhukovdm@yandex.ru
俄罗斯联邦, Moscow

O. Red’kin

Moscow Technological University

Email: zhukovdm@yandex.ru
俄罗斯联邦, Moscow

V. Los’

Moscow Technological University

Email: zhukovdm@yandex.ru
俄罗斯联邦, Moscow

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