Application of convolutional neural networks for preventing information leakage in open internet resources
- Авторлар: Zhukov D.O.1, Akimov D.A.1, Red’kin O.K.1, Los’ V.P.1
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Мекемелер:
- Moscow Technological University
- Шығарылым: Том 51, № 8 (2017)
- Беттер: 888-893
- Бөлім: Article
- URL: https://journal-vniispk.ru/0146-4116/article/view/175030
- DOI: https://doi.org/10.3103/S0146411617080314
- ID: 175030
Дәйексөз келтіру
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.
Авторлар туралы
D. Zhukov
Moscow Technological University
Хат алмасуға жауапты Автор.
Email: zhukovdm@yandex.ru
Ресей, Moscow
D. Akimov
Moscow Technological University
Email: zhukovdm@yandex.ru
Ресей, Moscow
O. Red’kin
Moscow Technological University
Email: zhukovdm@yandex.ru
Ресей, Moscow
V. Los’
Moscow Technological University
Email: zhukovdm@yandex.ru
Ресей, Moscow
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