Application of convolutional neural networks for preventing information leakage in open internet resources
- Autores: Zhukov D.O.1, Akimov D.A.1, Red’kin O.K.1, Los’ V.P.1
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Afiliações:
- Moscow Technological University
- Edição: Volume 51, Nº 8 (2017)
- Páginas: 888-893
- Seção: Article
- URL: https://journals.rcsi.science/0146-4116/article/view/175030
- DOI: https://doi.org/10.3103/S0146411617080314
- ID: 175030
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Resumo
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.
Sobre autores
D. Zhukov
Moscow Technological University
Autor responsável pela correspondência
Email: zhukovdm@yandex.ru
Rússia, Moscow
D. Akimov
Moscow Technological University
Email: zhukovdm@yandex.ru
Rússia, Moscow
O. Red’kin
Moscow Technological University
Email: zhukovdm@yandex.ru
Rússia, Moscow
V. Los’
Moscow Technological University
Email: zhukovdm@yandex.ru
Rússia, Moscow
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