Evaluating and Applying Risk Remission Strategy Approaches to Prevent Prospective Failures in Information Systems

Askar Boranbayev; Seilkhan Boranbayev; Askar Nurbekov

doi:10.1007/978-3-030-43020-7_87

Evaluating and Applying Risk Remission Strategy Approaches to Prevent Prospective Failures in Information Systems

Askar Boranbayev, Seilkhan Boranbayev, Askar Nurbekov

L.N. Gumilyov Eurasian National University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

13 Citations (Scopus)

Abstract

The article is devoted to a study related to applying various approaches to increase the dependability of Information Systems. In this article we evaluated and applied approaches such as RED (Risk in Early Design), GREEN (Generated Risk Event Effect Neutralization), and studied the possibility of using these approaches to prevent prospective failures in Information Systems. The MCDM (Multiple-Criteria Decision-Making) method was applied to assess information security risks in critical infrastructures. Based on this study we propose to use these methods and approaches as risk remission strategy tools in increasing the level of dependability of information systems. The proposed approach can be used to help in finding and neutralizing relevant risks.

Original language	English
Title of host publication	17th International Conference on Information Technology–New Generations, ITNG 2020
Editors	Shahram Latifi
Publisher	Springer
Pages	647-651
Number of pages	5
ISBN (Print)	9783030430191
DOIs	https://doi.org/10.1007/978-3-030-43020-7_87
Publication status	Published - Jan 1 2020
Event	17th International Conference on Information Technology: New Generations, ITNG 2020 - Las Vegas, United States Duration: Apr 5 2020 → Apr 8 2020

Publication series

Name	Advances in Intelligent Systems and Computing
Volume	1134
ISSN (Print)	2194-5357
ISSN (Electronic)	2194-5365

Conference

Conference	17th International Conference on Information Technology: New Generations, ITNG 2020
Country/Territory	United States
City	Las Vegas
Period	4/5/20 → 4/8/20

Funding

This work was done as part of a research grant №AP05131784 of the Ministry of Education and Science of the Republic of Kazakhstan for 2018–2020.

Keywords

Fault tolerance
Information systems
Multi-criteria method
Reliability

ASJC Scopus subject areas

Control and Systems Engineering
General Computer Science

Access to Document

10.1007/978-3-030-43020-7_87

Cite this

Boranbayev, A., Boranbayev, S., & Nurbekov, A. (2020). Evaluating and Applying Risk Remission Strategy Approaches to Prevent Prospective Failures in Information Systems. In S. Latifi (Ed.), 17th International Conference on Information Technology–New Generations, ITNG 2020 (pp. 647-651). (Advances in Intelligent Systems and Computing; Vol. 1134). Springer. https://doi.org/10.1007/978-3-030-43020-7_87

Evaluating and Applying Risk Remission Strategy Approaches to Prevent Prospective Failures in Information Systems. / Boranbayev, Askar; Boranbayev, Seilkhan; Nurbekov, Askar.
17th International Conference on Information Technology–New Generations, ITNG 2020. ed. / Shahram Latifi. Springer, 2020. p. 647-651 (Advances in Intelligent Systems and Computing; Vol. 1134).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Boranbayev, A, Boranbayev, S & Nurbekov, A 2020, Evaluating and Applying Risk Remission Strategy Approaches to Prevent Prospective Failures in Information Systems. in S Latifi (ed.), 17th International Conference on Information Technology–New Generations, ITNG 2020. Advances in Intelligent Systems and Computing, vol. 1134, Springer, pp. 647-651, 17th International Conference on Information Technology: New Generations, ITNG 2020, Las Vegas, United States, 4/5/20. https://doi.org/10.1007/978-3-030-43020-7_87

Boranbayev A, Boranbayev S, Nurbekov A. Evaluating and Applying Risk Remission Strategy Approaches to Prevent Prospective Failures in Information Systems. In Latifi S, editor, 17th International Conference on Information Technology–New Generations, ITNG 2020. Springer. 2020. p. 647-651. (Advances in Intelligent Systems and Computing). doi: 10.1007/978-3-030-43020-7_87

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Evaluating and Applying Risk Remission Strategy Approaches to Prevent Prospective Failures in Information Systems

Abstract

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