Open AccessComplex system representation for vulnerability analysis
Author(s) -
Daouda Kamissoko,
François Pérès,
Pascale Zaraté,
Didier Gourc
Publication year - 2015
Publication title -
ifac-papersonline
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.308
H-Index - 72
eISSN - 2405-8971
pISSN - 2405-8963
DOI - 10.1016/j.ifacol.2015.06.205
Subject(s) - dynamism , vulnerability (computing) , vulnerability assessment , computer science , representation (politics) , complex system , complex network , grid , distributed computing , flow network , component (thermodynamics) , electric power system , theoretical computer science , risk analysis (engineering) , power (physics) , computer security , artificial intelligence , mathematics , mathematical optimization , political science , psychology , physics , geometry , medicine , psychotherapist , world wide web , politics , law , psychological resilience , quantum mechanics , thermodynamics
15th IFAC Symposium on Information Control Problems in Manufacturing, Ottawa, CANADA, MAY 11-13, 2015International audienceMany socio-technical systems are endowed of dynamism, self-organization, emergency etc. These attributes make them as complex systems. Because of this complexity, the representation is a crucial step for vulnerability analysis. The objective of this paper is to provide a generic framework of complex systems representation for vulnerability analysis. We used infrastructure network such as power grid, gas and telecommunication system to illustrate our proposal. It is separated in five layers: Spatial framework, Stake, Flow, Environment, and Network structure. The static view consists of a network structure (Nodes and edges). The dynamic view is related to the flow circulation, components' states variations; and interdependences among them. Characteristics of these factors are described. The environment refers to outside perturbations that could happen. With our proposal it is possible to model many classes of complex system as the basis of vulnerability analysis. For this purpose; some modelling rules are proposed. The result allows performing simulations. Results of the simulation can be used for instance to find out vulnerability model into complex systems, or to validate existing models. (C) 2015, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved
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