Multi-criteria node criticality assessment framework for critical infrastructure networks

Luca Faramondi, Gabriele Oliva and Roberto Setola

International Journal of Critical Infrastructure Protection, 2020, vol. 28, issue C

Abstract: Spotting criticalities in Critical Infrastructure networks is a crucial task in order to implement effective protection strategies against exogenous or malicious events. Yet, most of the approaches in the literature focus on specific aspects (e.g., presence of hubs, minimum paths) and there is a need to identify tradeoffs among importance metrics that are typically clashing with each other. In this paper we propose an approach for the assessment of criticalities which combines multi-criteria decision making techniques and topological/dynamical centrality measures. In particular, we resort to the Sparse Analytic Hierarchy Process (SAHP) technique to calculate the relevance of the different metrics based on pairwise comparisons of the metrics by Subject Matter Experts (SMEs) and to merge the different metrics into a holistic indicator of node criticality/importance that takes into account all the metrics. With the aim to experimentally demonstrate the potential of the proposed approach, we consider a case study related to the Central London Tube Network. According to the experimental results, the proposed aggregated ranking exhibits negligible correlation with the single metrics being aggregated, thus suggesting that the proposed approach effectively combines the different metrics into a new perspective.

Keywords: Critical infrastructure protection; Vulnerability identification; Multi-criteria decision-making; Analytic hierarchy process; Centrality; Critical node detection (search for similar items in EconPapers)
Date: 2020
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Citations: View citations in EconPapers (8)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:ijocip:v:28:y:2020:i:c:s1874548220300020

DOI: 10.1016/j.ijcip.2020.100338

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