Year: 2022
Type: article
Abstract: With the rapid development of the Industrial Internet of Things (IIoT), there has been a need to respond quickly, detect and prevent intrusions. These problems are especially relevant due to the projected growth in IIoT users. Risk assessment is an important part of the process of creating information security systems, including industrial complexes. The aim of this work is to develop a practical model for assessing information security risks in industrial Internet of Things networks. The proposed model is based on a simple additive weighting method and fuzzy logic. Fuzzy logic is appropriate for risk assessment and represents practical results. The implementation of the process of fuzzy modeling of the rule base is carried out by using the specialized package Fuzzy Logic Toolbox of the MATLAB software tool.
Authors: А. S. Amirova, А. Т. Tokhmetov
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4224086526