Abstract
Modern cyber systems acquire the more emergent system properties, as far as their complexity is being increased: cyber resilience, controllability, self-organization, proactive cyber security and adaptability. Each of the listed properties is the subject of the cybernetics research (comes from Greek κυβερνητική (kybernētikḗ) - the art of the governance) and each subsequent feature makes sense only if there is a previous one.
This article presents a valuable experience and the exploratory study practical results of the Innopolis University Information Security Center on the scientific problem of the cyber-resilient critical information infrastructure organization under the conditions of previously unknown heterogeneous mass cyber attacks of intruders, based on similarity invariants. It is essential that the obtained results significantly complement the well-known practices and recommendations of ISO 22301 (https://www.iso.org), MITRE PR 15-1334 (www.mitre.org) and NIST SP 800-160 (www.nist.gov) in terms of developing the quantitative metrics and cyber resistance measures. This makes it possible for the first time to discover and formally present the ultimate efficiency law of the cyber resilience of modern Industry 4.0 systems under increasing security threats.
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Acknowledgement
The publication was carried out with the financial support of Russian Foundation for Basic Research (RFBR) and the Government of the Republic of Tatarstan in the framework of the scientific project No. 18-47-160011 “Development of an early warning system for computer attacks on the critical infrastructure of enterprises of the Republic of Tatarstan based on the creation and development of new NBIC cybersecurity technologies”.
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Petrenko, S., Khismatullina, E. (2019). Cyber-Resilience Concept for Industry 4.0 Digital Platforms in the Face of Growing Cybersecurity Threats. In: Mazzara, M., Bruel, JM., Meyer, B., Petrenko, A. (eds) Software Technology: Methods and Tools. TOOLS 2019. Lecture Notes in Computer Science(), vol 11771. Springer, Cham. https://doi.org/10.1007/978-3-030-29852-4_23
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DOI: https://doi.org/10.1007/978-3-030-29852-4_23
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