Model for Determining the Cloud Computing Services Vulnerability Level

Model for Determining the Cloud Computing Services Vulnerability Level

Bibliografische gegevens
Parent link:Lecture Notes in Electrical Engineering (LNEE)
Vol. 986 : Advances in Automation IV.— 2023.— [P. 119-126]
Hoofdauteur: Razumnikov S. V. Sergey Viktorovich
Coauteur: Национальный исследовательский Томский политехнический университет Юргинский технологический институт
Samenvatting: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
Taal:Engels
Gepubliceerd in: 2023
Onderwerpen:
электронный ресурс
труды учёных ТПУ
computing services
vulnerability
ELECTRE I method
multi-criteria optimization
non-dominated alternatives
вычислительные программы
уязвимость
оптимизация
Online toegang:https://doi.org/10.1007/978-3-031-22311-2_12
Formaat: Elektronisch Hoofdstuk
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=669349

Gelijkaardige items

Gelijkaardige items