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

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Abstract

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.

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Authors and Affiliations

  1. Moscow Technological University, Moscow, Russia

    D. O. Zhukov, D. A. Akimov, O. K. Red’kin & V. P. Los’

Authors
  1. D. O. Zhukov
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  2. D. A. Akimov
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  3. O. K. Red’kin
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  4. V. P. Los’
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Corresponding author

Correspondence to D. O. Zhukov.

Additional information

Original Russian Text © D.O. Zhukov, D.A. Akimov, O.K. Red’kin, V.P. Los’, 2017, published in Problemy Informatsionnoi Bezopasnosti, Komp’yuternye Sistemy.

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Zhukov, D.O., Akimov, D.A., Red’kin, O.K. et al. Application of convolutional neural networks for preventing information leakage in open internet resources. Aut. Control Comp. Sci. 51, 888–893 (2017). https://doi.org/10.3103/S0146411617080314

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  • DOI: https://doi.org/10.3103/S0146411617080314

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