Open AccessInformation security risk analysis in the networks of the industrial internet of things
Author(s) -
Akzhibek Amirova,
А. Т. Tokhmetov
Publication year - 2022
Publication title -
vestnik nacionalʹnoj inženernoj akademii respubliki kazahstan
Language(s) - English
Resource type - Journals
eISSN - 2709-4707
pISSN - 2709-4693
DOI - 10.47533/2020.1606-146x.135
Subject(s) - computer science , fuzzy logic , toolbox , the internet , industrial internet , process (computing) , weighting , risk analysis (engineering) , information security , computer security , data mining , internet of things , artificial intelligence , world wide web , medicine , operating system , radiology , programming language
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.