Model for Determining the Cloud Computing Services Vulnerability Level; Lecture Notes in Electrical Engineering (LNEE); Vol. 986 : Advances in Automation IV

Model for Determining the Cloud Computing Services Vulnerability Level; Lecture Notes in Electrical Engineering (LNEE); Vol. 986 : Advances in Automation IV

Detalhes bibliográficos
Parent link:Lecture Notes in Electrical Engineering (LNEE)
Vol. 986 : Advances in Automation IV.— 2023.— [P. 119-126]
Autor principal: Razumnikov S. V. Sergey Viktorovich
Autor Corporativo: Национальный исследовательский Томский политехнический университет Юргинский технологический институт
Resumo:Title screen
In decision making when comparing alternatives, it is often necessary to work with different values and scores. Binary relations and graph theory proved to be efficient when conducting this type of analysis. Cloud computing services, like any other technical means, are exposed to vulnerability and prone to breakdowns. This article proposes a model for determining the vulnerability level of cloud computing sections based on the ELECTRE I method. This model allows identifying sections that are most at risk of breakdown or failure, as well as removing dominant alternatives that do not constitute a grave danger to the system. Based on identified preferences, it is possible to decide on discrepancies rectification in the selected sections of the cloud computing services.
Режим доступа: по договору с организацией-держателем ресурса
Idioma:inglês
Publicado em: 2023
Assuntos:
электронный ресурс
труды учёных ТПУ
computing services
vulnerability
ELECTRE I method
multi-criteria optimization
non-dominated alternatives
вычислительные программы
уязвимость
оптимизация
Acesso em linha:https://doi.org/10.1007/978-3-031-22311-2_12
Formato: Recurso Electrónico Capítulo de Livro
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=669349

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