| Issue |
MATEC Web Conf.
Volume 76, 2016
20th International Conference on Circuits, Systems, Communications and Computers (CSCC 2016)
|
|
|---|---|---|
| Article Number | 02050 | |
| Number of page(s) | 5 | |
| Section | Systems | |
| DOI | https://doi.org/10.1051/matecconf/20167602050 | |
| Published online | 21 October 2016 | |
Risk Matrix-Based Method for Critical Infrastructure Safety Assessment Taking into Account Interdependencies
1 Department of computer systems and networks, National Aerospace University “KhAI”, Kharkiv, 61070, Ukraine
2 RPC Radiy, Kirovograd, 25006, Ukraine
a Corresponding author: e.brezhnev@csis.org.ua
This paper is devoted to development of method for critical infrastructure (CI) safety assessment taking into account the different types of interdependencies: logical, physical, geographical, etc. There are many existing approaches for CI safety assessment. But the limited number of them consider the interdependencies focused on safety. Only few of them focus on interdependencies formalization. The suggested approach is based on application of risk matrixes built for each CI systems. Criticality of state is considered as safety value. The risk matrixes are developed for each CI life stage. The initial risk matrix is developed during CI design stage. All operational risk matrixes are built based on fuzzy logic and system field data.
© The Authors, published by EDP Sciences, 2016
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.