A model for risk analysis in the industrial internet of things

AMIROVA A. TOKHMETOV A.
31 July 2021 Little Lion Scientific

Journal of Theoretical and Applied Information Technology
2021 #99 Issue 14 3449 - 3459 pp.

With the rapid development of the industrial Internet of Things (IIoT) the need to respond quickly, detect and prevent intrusions has arisen. IIoT networks have special functions and face unique challenges in defending against cyber attacks. These problems are especially relevant as the predicted growth of IIoT users. Risk assessment is an important part of the process of information security systems, including industrial complexes. In this document, we present a practical information security risk assessment model. This model is based on simple additive weighting method and fuzzy logic. Fuzzy logic is a suitable model for risk assessment and represents practical results.

Industrial Internet of Things (IIoT) , Security , Simple Additive Weighting Method (SAW) , Threats

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N. Gumilyov Eurasian national university, Nur-Sultan, Kazakhstan

N. Gumilyov Eurasian national university

10 лет помогаем публиковать статьи Международный издатель

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