Abstract

Taking into account the digital transformation, the prospects for the development of intelligent complex security management system FEC are revealed. For the first time a definition of intelligent complex security management system FEC is given, also, its generalized structure is developed, considering the development of the Russian human-machine concept, as a complex information-energy system, on the basis of intellectualization of theoretical principles of human physiology and psychology. Its main elements are defined: a core, subsystems and components and mathematical dependencies implementing management functions are given. The core, subsystems and components are represented by the protected system at the level of security threat management in the form of a block-functional system scheme with elements of artificial intelligence that differ in the detail level. The mutual influence mechanism of separate subsystems and components is defined through simple, hybrid and complex threats. Besides, system threats of FEC were classified and their definitions were given. As an example, we consider the complex threat related to security of critical information FEC infrastructure. What is more, the basic intelligent management principles of complex FEC security are formulated, based on the block-functional system scheme with artificial intelligence elements and operator state security Identification in real time. We obtained general equations of the output state variables vector, which is equivalent to the security model of the operator, vectors of output state variables in case of hybrid, complex, and system FEC threats.

Details

Title
Intelligent complex security management system FEC for the Industry 5.0
Author
Korneev, N V 1 

 Gubkin Russian State University of Oil and Gas, Moscow, Leninsky Prospect, 65, Russian Federation; Financial University under the Government of the Russian Federation, Moscow, Leningradsky Prospekt, 49, Russian Federation 
Publication year
2020
Publication date
Oct 2020
Publisher
IOP Publishing
ISSN
17578981
e-ISSN
1757899X
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2562849560
Copyright
© 2020. This work is published under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.