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Method of Improving the Cyber Resilience for Industry 4.0. Digital Platforms

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Software Technology: Methods and Tools (TOOLS 2019)

Abstract

Cyber resilience is the most important feature of any cyber system, especially during the transition to the sixth technological stage, and related Industry 4.0 technologies: Artificial Intelligence (AI), Cloud and foggy computing, 5G +, IoT/IIoT, Big Data and ETL, Q-computing, Block chain, VR/AR, etc. We should even consider the cyber resilience as primary one, because the mentioned systems cannot exist without it. Indeed, without the sustainable formation, made of the interconnected components of the critical information infrastructure, it does not make sense to discuss the existence of 4.0 Industry cyber-systems. In case when the cyber security of these systems is mainly focused on assessment of the incidents’ probability and prevention of possible security threats, the cyber security is mainly aimed at preserving the targeted behavior and cyber systems’ performance under the conditions of known (about 45%) as well as unknown (the remaining 55%) cyber-attacks.

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Notes

  1. 1.

    https://www.ey.com/en_gl/cybersecurity/global-information-security-survey.

  2. 2.

    https://university.innopolis.ru/research/tib/csirt-iu.

  3. 3.

    www.mitre.org.

  4. 4.

    www.nist.gov.

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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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Correspondence to Sergei Petrenko .

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Petrenko, S., Elvira, K. (2019). Method of Improving the Cyber Resilience for Industry 4.0. Digital Platforms. 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_24

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  • DOI: https://doi.org/10.1007/978-3-030-29852-4_24

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