Разработка технологической дорожной карты процесса управления комплексной безопасностью объектов, подлежащих обязательной государственной охране

Authors

  • Александр Александрович Рогожин Krasnodar University of Ministry of Internal Affairs of Russia image/svg+xml
  • Батор Октябрьевич Баторов Academy of management of the Ministry of the Interior of Russia.
  • Владимир Андреевич Дурденко Voronezh State University image/svg+xml

DOI:

https://doi.org/10.17308/sait.2018.1/1192

Keywords:

classification, prediction, assessment, the integrated security system, neural network, method, perceptron

Abstract

In article the method of classification and prediction of the structures of the inte-grated security systems based on modeling of pre-trained perceptron is realized.

Author Biographies

  • Александр Александрович Рогожин, Krasnodar University of Ministry of Internal Affairs of Russia

    Lecturer, Department of information security, Krasnodar university of the Ministry of the Interior of Russia.

  • Батор Октябрьевич Баторов, Academy of management of the Ministry of the Interior of Russia.

    postgraduate student, De-partment of information technology, Academy of management of the Ministry of the Interior of Russia

  • Владимир Андреевич Дурденко, Voronezh State University

    Doctor of Technical Sciences, Professor, Department of information technology management, Voronezh State University.

References

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Published

2018-02-02

Issue

No. 1 (2018): January - March

Section

Information Security

License

Условия передачи авторских прав in English

How to Cite

Разработка технологической дорожной карты процесса управления комплексной безопасностью объектов, подлежащих обязательной государственной охране. (2018). Proceedings of Voronezh State University. Series: Systems Analysis and Information Technologies, 1, 63-69. https://doi.org/10.17308/sait.2018.1/1192

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