Assessing the Security of a Cyber-Physical System Based on an Analysis of Malware Signatures
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Published:2023-12
Issue:8
Volume:57
Page:894-903
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ISSN:0146-4116
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Container-title:Automatic Control and Computer Sciences
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language:en
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Short-container-title:Aut. Control Comp. Sci.
Reference16 articles.
1. Lasi, H., Fettke, P., Kemper, H., Feld, T., and Hoffmann, M., Industry 4.0, Business Inf. Syst. Eng., 2014, vol. 6, no. 4, pp. 239–242. https://doi.org/10.1007/s12599-014-0334-4 2. Pavlenko, E., Zegzhda, D., and Shtyrkina, A., Criterion of cyber-physical systems sustainability, CEUR Workshop Proc., 2019, pp. 60–64. 3. Ivanov, D., Kalinin, M., Krundyshev, V., and Orel, E., Automatic security management of smart infrastructures using attack graph and risk analysis, 2020 Fourth World Conf. on Smart Trends in Systems, Security and Sustainability (WorldS4), London, 2020, IEEE, 2020, vol. 4, pp. 295–300. https://doi.org/10.1109/worlds450073.2020.9210410 4. Kalinin, M., Ovasapyan, T., and Poltavtseva, M., Application of the learning automaton model for ensuring cyber resiliency, Symmetry, 2022, vol. 14, no. 10, p. 2208. https://doi.org/10.3390/sym14102208 5. Lee, E.A., The past, present and future of cyber-physical systems: A focus on models, Sensors, 2015, vol. 15, no. 3, pp. 4837–4869. https://doi.org/10.3390/s150304837
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