Application of convolutional neural networks for preventing information leakage in open internet resources
- Авторы: Zhukov D.O.1, Akimov D.A.1, Red’kin O.K.1, Los’ V.P.1
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Учреждения:
- Moscow Technological University
- Выпуск: Том 51, № 8 (2017)
- Страницы: 888-893
- Раздел: Article
- URL: https://journals.rcsi.science/0146-4116/article/view/175030
- DOI: https://doi.org/10.3103/S0146411617080314
- ID: 175030
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Аннотация
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.
Об авторах
D. Zhukov
Moscow Technological University
Автор, ответственный за переписку.
Email: zhukovdm@yandex.ru
Россия, Moscow
D. Akimov
Moscow Technological University
Email: zhukovdm@yandex.ru
Россия, Moscow
O. Red’kin
Moscow Technological University
Email: zhukovdm@yandex.ru
Россия, Moscow
V. Los’
Moscow Technological University
Email: zhukovdm@yandex.ru
Россия, Moscow
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