Fuzzy model of cybersecurity risk assessment in digital economy

被引：0
作者：
Mikhailovich, Nazarov Dmitry [1 ]
Mikhailovich, Samatov Konstantin [1 ]
Viktorovna, Begicheva Svetlana [1 ]
机构：
[1] Ural State Univ Econ, Inst Management & Informat Technol, Ekaterinburg, Russia
来源：
PROCEEDINGS OF THE 2ND INTERNATIONAL SCIENTIFIC CONFERENCE ON NEW INDUSTRIALIZATION: GLOBAL, NATIONAL, REGIONAL DIMENSION (SICNI 2018) | 2019年 / 240卷
关键词：
poorly formalized factors; peer review; fuzziness index; cybersecurity; source of threats; critical information infrastructure facilities; new industrialization; digital economy;
D O I：
暂无
中图分类号：
F [经济];
学科分类号：
02 ;
摘要：
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.
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收藏
页码：811 / 815
页数：5
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