Risk-adapted management of data flow parameters of infocommunication networks in critical infrastructure systems

Authors

Viktor Kosenko
Харківський національний університет радіоелектроніки Kharkiv National University of Radio Electronics
http://orcid.org/0000-0002-4905-8508
Igor Nevliudov
Харківський національний університет радіоелектроніки Kharkiv National University of Radio Electronics
http://orcid.org/0000-0002-9837-2309

Synopsis

The monograph deals with the problems of adaptive control of data flow parameters to ensure the requirements for promptness and exchange of high-risk information in critical communications infrastructure networks. The method of adaptive management of the distribution of information flows allows to consider for different types of communication channels the possible change of requirements of application tasks or user activity and solves the optimization problem of reducing the total data transmission costs. A method based on causal analysis theory is used to determine the category of critical infrastructure in the risk scale. The description of information technology of risk-adaptive data flow management of the infocommunication network is given..
Recommended for students, masters, post-graduate students, and academics of a wide range of specialities related to data flow management of data communications networks to meet the requirements for promptness and exchange of information at high risk.

Author Biographies

Viktor Kosenko, Харківський національний університет радіоелектроніки Kharkiv National University of Radio Electronics

Professor (part-time) Department of Computer-Integrated Technologies, Automation and Mechatronics, Candidate of Engineering Science, Associate Professor

Igor Nevliudov, Харківський національний університет радіоелектроніки Kharkiv National University of Radio Electronics

Head of Department of Computer-Integrated Technologies, Automation and Mechatronics, Member of Academic Council, Member of EMC, Member of STC, Editorial Board Member of «Innovative Technologies and Scientific Solutions for Industries», Doctor of Engineering Science, Professor, Member of the NURE Alumni Association

Published

July 9, 2020