Information Security State Analysis of Elements of Industry 4.0 Devices in Information Systems

摘要

The authors researched problematic issues of the information security state analysis of elements of Industry 4.0 devices. The type and characteristics of behavioral patterns used for the analysis were demonstrated. The authors conducted an experiment aimed at obtaining statistical information from investigated objects. During the experiment, a sample of signal trace patterns was obtained for the states under consideration. The approach based on the k-means clustering method was considered as the decisive identification rule. The approach to identifying the state of Industry 4.0 devices in information systems based on the processing of digitized sequences was proposed. The overall accuracy of the selected method was found to be 98%. The main limitations of the proposed approach are the need of formalization and selecting data groups for the formation of behavioral patterns. The basic advantage of the proposed approach is the relative ease of its implementation and minimum requirements for computing resources.