Semenov, V.V., Lebedev, I.S., Sukhoparov, M.E.: Approach to classification of the information security state of elements for cyber physical systems by applying side electromagnetic radiation. Äit-Yan, Y., Yuxin, D.: Host-based intrusion detection using dynamic and static behavioral models. ![]() Keywordsįarwell, J.P., Rogozinski, R.: Stuxnet and the future of cyber war. The basic advantage of the proposed approach is the relative ease of its implementation and minimum requirements for computing resources. The main limitations of the proposed approach are the need of formalization and selecting data groups for the formation of behavioral patterns. The overall accuracy of the selected method was found to be 98%. ![]() The approach to identifying the state of Industry 4.0 devices in information systems based on the processing of digitized sequences was proposed. ![]() The approach based on the k-means clustering method was considered as the decisive identification rule. During the experiment, a sample of signal trace patterns was obtained for the states under consideration. The authors conducted an experiment aimed at obtaining statistical information from investigated objects. The type and characteristics of behavioral patterns used for the analysis were demonstrated. ![]() The authors researched problematic issues of the information security state analysis of elements of Industry 4.0 devices.
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