Modeling algorithms for risk assessment in the Internet of Things systems

Igor Lvovich; Yakov Lvovich; Andrey Preobrazhenskiy; Yuriy Preobrazhenskiy

doi:10.1117/12.2669091

5 January 2023 Modeling algorithms for risk assessment in the Internet of Things systems

Igor Lvovich, Yakov Lvovich, Andrey Preobrazhenskiy, Yuriy Preobrazhenskiy

Proceedings Volume 12564, 2nd International Conference on Computer Applications for Management and Sustainable Development of Production and Industry (CMSD-II-2022); 1256419 (2023) https://doi.org/10.1117/12.2669091
Event: Computer Applications for Management and Sustainable Development of Production and Industry (CMSD2022), 2022, Dushanbe, Tajikistan

Abstract

Currently, a very urgent problem is the development of approaches related to risk assessment in the Internet of Things systems. We consider a number of objects in the IoT system. For each of the objects, a certain set of risk factors can be designated. The approach that uses cluster analysis is considered. The criterion is used, that relate IoT objects with corresponding vulnerabilities. The illustration of the main steps of the algorithm for generating models for determining the risk associated with vulnerabilities in the Internet of Things is given. The results of analysis of the significance of risk factors and assessing the adequacy of the model for determining the degree of risk deterioration among objects of the IoT system are shown.

Citation Download Citation

Igor Lvovich, Yakov Lvovich, Andrey Preobrazhenskiy, and Yuriy Preobrazhenskiy "Modeling algorithms for risk assessment in the Internet of Things systems", Proc. SPIE 12564, 2nd International Conference on Computer Applications for Management and Sustainable Development of Production and Industry (CMSD-II-2022), 1256419 (5 January 2023); https://doi.org/10.1117/12.2669091

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