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Using Artificial Neural Networks to Estimate the Probability of Information Security Threat Occurrences

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Abstract

This article defines the possibility of using artificial neural networks for evaluating the probability of information safety threat occurrences and the development of a computer program. The result of analyzing the threat occurrence probability has shown that artificial neural networks can be used to evaluate the probability of information security threat occurrence. An application for evaluating the threat occurrence probability is developed.

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Authors and Affiliations

  1. Far Eastern State Transport University, Khabarovsk, Russia

    R. A. Antonov, E. V. Karachanskaya & G. V. Khandozhko

Authors
  1. R. A. Antonov
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  2. E. V. Karachanskaya
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  3. G. V. Khandozhko
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Corresponding author

Correspondence to E. V. Karachanskaya.

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The authors declare that they have no conflicts of interest.

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Translated by S. Kuznetsov

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Antonov, R.A., Karachanskaya, E.V. & Khandozhko, G.V. Using Artificial Neural Networks to Estimate the Probability of Information Security Threat Occurrences. Aut. Control Comp. Sci. 55, 941–948 (2021). https://doi.org/10.3103/S0146411621080046

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  • DOI: https://doi.org/10.3103/S0146411621080046

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