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

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 lang...

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Bibliographic Details
Published in:Automatic control and computer sciences 2017, Vol.51 (8), p.888-893
Main Authors: Zhukov, D. O., Akimov, D. A., Red’kin, O. K., Los’, V. P.
Format: Article
Language:English
Subjects:
Artificial neural networks
Computer Science
Control Structures and Microprogramming
Internet
Internet access
Internet resources
Leakage
Neural networks
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Summary: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.
ISSN:0146-4116
1558-108X
DOI:10.3103/S0146411617080314