Application Model of Modern Artificial Neural Network Methods for the Analysis of Information Systems Security
- Autores: Demidov R.A.1, Pechenkin A.I.1, Zegzhda P.D.1, Kalinin M.O.1
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Afiliações:
- Peter the Great St.Petersburg Polytechnic University
- Edição: Volume 52, Nº 8 (2018)
- Páginas: 965-970
- Seção: Article
- URL: https://journals.rcsi.science/0146-4116/article/view/175685
- DOI: https://doi.org/10.3103/S0146411618080072
- ID: 175685
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Resumo
In this work considered the problem of safety analysis of control mechanisms in modern information systems, including control software systems of cyberphysical and industrial facilities, digital control systems for distributed cyber environments VANET, FANET, MARINET, industrial Internet of things and sensor networks. The representation of security violation as a property of the system described by a complex function is proposed, in which the method of finding violations is described in the form of approximation of that function and the calculation of its values for specific systems. Various approaches to the interpolation of such function are considered in the work, it is shown that the most promising option is the use of deep neural networks.
Sobre autores
R. Demidov
Peter the Great St.Petersburg Polytechnic University
Autor responsável pela correspondência
Email: rd@ibks.spbstu.ru
Rússia, St. Petersburg, 195251
A. Pechenkin
Peter the Great St.Petersburg Polytechnic University
Autor responsável pela correspondência
Email: pechenkin@ibks.spbstu.ru
Rússia, St. Petersburg, 195251
P. Zegzhda
Peter the Great St.Petersburg Polytechnic University
Autor responsável pela correspondência
Email: pechenkin@ibks.spbstu.ru
Rússia, St. Petersburg, 195251
M. Kalinin
Peter the Great St.Petersburg Polytechnic University
Autor responsável pela correspondência
Email: max@ibks.spbstu.ru
Rússia, St. Petersburg, 195251
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