Abstract
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.
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ACKNOWLEDGMENTS
The project results are achieved using the resources of supercomputer center of Peter the Great St. Petersburg Polytechnic University – SCC “Polytechnichesky” (www.spbstu.ru).
The project is financially supported by Ministry of Science and Higher Education of the Russian Federation, Federal Program “Researching and Development in Priority Directions of Scientific and Technological Sphere in Russia within 2014–2020” (Contract no. 14.575.21.0131, September 26, 2017, the unique identifier of the agreement RFMEFI57517X0131).
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Demidov, R.A., Pechenkin, A.I., Zegzhda, P.D. et al. Application Model of Modern Artificial Neural Network Methods for the Analysis of Information Systems Security. Aut. Control Comp. Sci. 52, 965–970 (2018). https://doi.org/10.3103/S0146411618080072
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DOI: https://doi.org/10.3103/S0146411618080072