Critical Infrastructure Risk Assessment Using Markov Chain Model-Reference-Cited by-同舟云学术

Critical Infrastructure Risk Assessment Using Markov Chain Model

Published:2019-06-28 Issue: Volume:2 Page:15-20
ISSN:1509-4553
Container-title:Journal of Telecommunications and Information Technology
language:
Short-container-title:JTIT

Author:

Karbowski Andrzej¹^ORCID,Malinowski Krzysztof²^ORCID,Szwaczyk Sebastian^ORCID,Jaskóła Przemysław^ORCID

Affiliation:

1. NASK National Research Institute, Warsaw University of Technology

2. NASK Research and Academic Computer Network - State Research Institute, Politechnika Warszawska (Warsaw University of Technology), Warsaw University of Technology

Abstract

The paper presents application of the Markov chain model to assess the risk aﬀecting critical national infrastructure. A method for relating diﬀerent service states to transition probabilities is shown. Then, a real-life example is thoroughly analyzed. Finally, results of a numerical test concerning this problem are provided.

Funder

Narodowe Centrum Badań i Rozwoju

Publisher

National Institute of Telecommunications

Subject

Electrical and Electronic Engineering,Computer Networks and Communications

Link

https://www.itl.waw.pl/czasopisma/JTIT/2019/2/15.pdf

Reference9 articles.

1. [1] "Directive (EU) 2016/1148 of The European Parliament and of the Council of 6 July 2016 concerning measures for a high common level of security of network and information systems across the Union", The European Parliament and the Council of the European Union, Official Journal of the European Union, vol. 59, pp. L194/1- L194/30, 2016 [Online]. Available: https://eur-lex.europa.eu/ legal-content/EN/TXT/PDF/?uri=CELEX:32016L1148&from=EN

2. [2] IEC/ISO 31010 "Risk management - Risk assessment techniques", International Organization for Standardization, International Electrotechnical Commission, Geneva, 2009 [Online]. Available: https://www.iso.org/obp/ui#iso:std:iec:31010:ed-1:v1:en

3. [3] S. Szwaczyk, K. Wrona, and M. Amanowicz, "Applicability of risk analysis methods to risk-aware routing in software-defined networks", in Proc. Int. Conf. on Milit. Commun. and Inform. Syst. ICMCIS 2018, Warsaw, Poland, 2018 (doi: 10.1109/ICMCIS.2018.8398688).

4. [4] M. L. Puterman, Markov Decision Processes: Discrete Stochastic Dynamic Programming. Wiley, 2014 (ISBN: 9780471619772).

5. [5] A. Afful-Dada and T. T. Allen, "Data-driven cyber-vulnerability maintenance policies", J. of Qual. Technol., vol. 46, pp. 234-250, 2014 (doi: 10.1080/00224065.2014.11917967).

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