Proceedings of the 2nd International Scientific conference on New Industrialization: Global, national, regional dimension (SICNI 2018)

Fuzzy model of cybersecurity risk assessment in digital economy

Authors
Dmitry Nazarov, Samatov Samatov, Svetlana Begicheva
Corresponding Author
Dmitry Nazarov
Available Online January 2019.
DOI
10.2991/sicni-18.2019.163How to use a DOI?
Keywords
poorly formalized factors, peer review, fuzziness index, cybersecurity, source of threats, critical information infrastructure facilities, new industrialization, digital economy.
Abstract

The article deals with fuzzy model of risk assessment of cybersecurity based on fuzzy model of poorly formalized factors. Therefore, there was assessed general impact in critical information infrastructure facilities by using technology of Mamdani-type logical inference. Model of poorly formalized factors, which are described “source of threats”, is used to cybersecurity risks for critical information infrastructure facilities modelling.

Copyright
© 2019, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2nd International Scientific conference on New Industrialization: Global, national, regional dimension (SICNI 2018)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
January 2019
ISBN
978-94-6252-654-9
ISSN
2352-5398
DOI
10.2991/sicni-18.2019.163How to use a DOI?
Copyright
© 2019, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Dmitry Nazarov
AU  - Samatov Samatov
AU  - Svetlana Begicheva
PY  - 2019/01
DA  - 2019/01
TI  - Fuzzy model of cybersecurity risk assessment in digital economy
BT  - Proceedings of the 2nd International Scientific conference on New Industrialization: Global, national, regional dimension (SICNI 2018)
PB  - Atlantis Press
SP  - 811
EP  - 815
SN  - 2352-5398
UR  - https://doi.org/10.2991/sicni-18.2019.163
DO  - 10.2991/sicni-18.2019.163
ID  - Nazarov2019/01
ER  -