Integrating function and topology for node criticality assessment in interdependent networks
Eslami, Ali
Eslami, Ali
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Issue Date
2024-12-03
Type
Conference paper
Genre
Keywords
Cascading failure,Node criticality,Self-healing cyber-physical systems,Transportation networks
Subjects (LCSH)
Citation
A. Eslami, "Integrating Function and Topology for Node Criticality Assessment in Interdependent Networks," 2024 43rd International Conference of the Chilean Computer Science Society (SCCC), Temuco, Chile, 2024, pp. 1-5
Abstract
The traditional topology-based metrics for assessing node criticality may fall short in highly heterogeneous multilayer networks. This work introduces a novel modeling framework that incorporates both function and topology to effectively measure node criticality. The framework is applied to the State of Kansas' transportation network as a practical example of an infrastructure network, identifying the most critical nodes under various operating load conditions. The findings reveal, among other insights, a significant rise in an adversary's success rate when targeting the most critical nodes rather than a random set of nodes. © 2024 IEEE.
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Publisher
IEEE Computer Society
Journal
Book Title
Series
43rd International Conference of the Chilean Computer Science Society, SCCC 2024
28 October 2024 through 30 October 2024
Temuco
204790
28 October 2024 through 30 October 2024
Temuco
204790
Digital Collection
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Archival Collection
PubMed ID
ISSN
15224902