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A Markov Model of IoT System Availability Considering DDoS Attacks, Patching and Energy Modes

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Green IT Engineering: Social, Business and Industrial Applications

Part of the book series: Studies in Systems, Decision and Control ((SSDC,volume 171))

Abstract

An important task in the conditions of the rapid spread of the Internet of things (IoT) is the assessment of its availability under the impact of various attacks. The chapter analyzes the energy modes of network devices operating system (OS) in the smart business center (SBC), and specifies the organization of the energy-efficient IoT-SBC subsystem. The aim of the research is to develop and study Markov models of SBC availability in view of energy regimes, the impact of cyber-attacks, the reliability of SBC components and patches on the firewalls vulnerabilities. The main questions of the chapter’s research are an analysis of possible methods for reducing the power consumption of SBC devices, estimating the availability factor of SBC in the conditions of successful attacks.

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Authors and Affiliations

  1. Department of Automation and Control in Technical Systems, National Technical University “KhPI”, Kharkiv, Ukraine

    Maryna Kolisnyk

  2. Department of Computer Systems, Networks and Cyber Security, National Aerospace University “KhAI”, Kharkiv, Ukraine

    Vyacheslav Kharchenko

Authors
  1. Maryna Kolisnyk
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  2. Vyacheslav Kharchenko
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Correspondence to Vyacheslav Kharchenko .

Editor information

Editors and Affiliations

  1. Department of Computer Systems, Networks and Cybersecurity, National Aerospace University "KhAI", Kharkiv, Ukraine

    Vyacheslav Kharchenko

  2. Department of Intelligent Information Systems, Petro Mohyla Black Sea National University, Mykolaiv, Ukraine

    Yuriy Kondratenko

  3. Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland

    Janusz Kacprzyk

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Kolisnyk, M., Kharchenko, V. (2019). A Markov Model of IoT System Availability Considering DDoS Attacks, Patching and Energy Modes. In: Kharchenko, V., Kondratenko, Y., Kacprzyk, J. (eds) Green IT Engineering: Social, Business and Industrial Applications. Studies in Systems, Decision and Control, vol 171. Springer, Cham. https://doi.org/10.1007/978-3-030-00253-4_9

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  • DOI: https://doi.org/10.1007/978-3-030-00253-4_9

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-00252-7

  • Online ISBN: 978-3-030-00253-4

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