The probabilistic analysis of the remote monitoring systems of critical infrastructure safety

• Autorzy: Zhulina S. , Kuznetsova T. , Kostogryzov A. , Kurpatov O. , Nistratov A. , Nistratov G.
• Języki publikacji: EN

Abstrakty

EN

The approach for probabilistic analysis of the remote monitoring systems (RMS) of critical infrastructure safety (CIS) is proposed. It allows to estimate the reliability and timeliness of information producing, the completeness, validity and confidentiality of the RMS information. In application to composed and integrated CIS with RMS and without RMS the earlier models, developed by authors, are used. The methods for evaluating influence of RMS quality on risk to lose CIS integrity are developed. Some effects of RMS applications in Russia are demonstrated.

Słowa kluczowe

EN

information; model; monitoring; probability; risk; safety; system; technology

• Wydawca: Polskie Towarzystwo Bezpieczeństwa i Niezawodności
• Czasopismo: Journal of Polish Safety and Reliability Association
• Rocznik: 2017
• Tom: Vol. 8, No. 1
• Strony: 183--188
• Opis fizyczny: Bibliogr. 13 poz., rys., wykr.

Twórcy

autor

Zhulina S.

• Rostechnadzor, Moscow, Russia

autor

Kuznetsova T.

• Rostechnadzor, Moscow, Russia

autor

Kostogryzov A.

• Federal Research Center “Computer Science and Control” of the Russian Academy of Sciences, Moscow, Russi

autor

Kurpatov O.

• The Russian Corporation of Communication Devises, Moscow, Russia

autor

Nistratov A.

• Research Institute of Applied Mathematics and Certification, Moscow, Russia

autor

Nistratov G.

• Research Institute of Applied Mathematics and Certification, Moscow, Russia

Bibliografia

• [1] Kostogryzov, A.I., Petuhov, A.V. & Scherbina, A.M. (1994), Foundations for evaluation, providing and increasing output information quality in application to automatized systems. Moscow: “Armament. Policy. Conversion”, 278p.
• [2] Kostogryzov, A. (2000), Software Tools Complex for Evaluation of Information Systems Operation Quality (CEISOQ). Proceedings of the 34-th Annual Event of the Government Electronics and Information Association (GEIA), Engineering and Technical Management Symposium, 25-29 September, 2000, 63-70.
• [3] Kostogryzov, A. & Nistratov, G. (2004). Standardization, mathematical modelling, rational management and certification in the field of system and software engineering”, Moscow, Armament.Policy.Conversion, 395p. (in Russian).
• [4] Kostogryzov, A.I. & Stepanov, P.V. (2008). Innovative management of quality and risks in systems life cycle, Moscow, Armament. Policy. Conversion, 404p. (in Russian).
• [5] Kostogryzov, A., Nistratov, A. & Nistratov, G. (2012). Applicable Technologies to Forecast, Analyze and Optimize Reliability and Risks for Complex Systems. Proceedings of the 6st International Summer Safety and Reliability Seminar, Poland, Volume 3, Number 1, pp. 114, September 2012.
• [6] Kostogryzov, A., Nistratov, G. & Nistratov, A. (2012). Some Applicable Methods to Analyze and Optimize System Processes in Quality Management, Total Quality Management and Six Sigma, InTech, pp. 127-196. Available from: http://www.intechopen.com/books/totalquality-management-and-six-sigma/someapplicable-methods-to-analyze-and-optimizesystem-processes-in-quality-management.
• [7] Kostogryzov, A., Grigoriev, L., Nistratov, G., Nistratov, A. & Krylov, V. Prediction and Optimization of System Quality and Risks on the Base of Modelling Processes”, American Journal of Operations Research, Special Issue, Volume 3, Number 1A, pp.217-244, January 2013, Available from: http://www.scirp.org/journal/ajor/
• [8] Kostogryzov, A., Nistratov, G. & Nistratov, A. (2013). The Innovative Probability Models and Software Technologies of Risks Prediction for Systems Operating in Various Fields. International Journal of Engineering and Innovative Technology (IJEIT), Volume 3, Issue 3, September 2013, pp. 146-155. http://www.ijeit.com/archive.php
• [9] Kostogryzov, A.I. etc. (2015). Security of Russia. Legal, Social & Economic and Scientific & Engineering Aspects. The Scientific Foundations of Technogenic Safety Edited by N. Machutov - Moscow: «Znanie», 2015, - 936p.
• [10] Kostogryzov, A.I., Stepanov, P.V, Nistratov, G.A., Nistratov, A.A., Grigoriev, L.I. & Atakishchev, O.I. (2015). Innovative Management Based on Risks Prediction. Information Engineering and Education Science - Zheng (Ed.). Taylor & Francis Group, London, ISBN 978-1-138-02655-1, pp. 159166.
• [11] Zio, E. (2006.) An Introduction to the Basics of Reliability and Risk Analysis, World Scientific, 2006, 222p.
• [12] Kolowrocki, K. & Soszynska-Budny, J. (2011). Reliability and Safety of Complex Technical Systems and Processes, DOI:10.1007/978-085729-694-8, Springer-Verlag London Limited, 2011, 405p.
• [13] Kostogryzov, A., Stepanov, P., Nistratov, A., Nistratov, G., Zubarev, I. & Grigoriev, L. (2016). Analytical modelling operation processes of composed and integrated information systems on the principles of system engineering. Journal of Polish Safety and Reliability Association. Summer Safety and Reliability Seminars, Volume 7, Number 1, 157-166. Available from: http://jpsra.am.gdynia.pl/archives/jpsra-2016contents/

Uwagi

Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę (zadania 2017).