Node criticality assessment in interdependent networks via decoupled function graphs
Eslami, Ali
Eslami, Ali
Citations
Altmetric:
Authors
Other Names
Location
Time Period
Advisors
Original Date
Digitization Date
Issue Date
2025
Type
Conference paper
Genre
Keywords
Measurement,Network topology,Power system protection,Transportation,Nonhomogeneous media,Heterogeneous networks,Topology,Power system faults,Load modeling,Resilience,Self-healing cyber-physical systems,Transportation networks,Cascading failure,Node criticality
Subjects (LCSH)
Citation
A. Eslami, "Node Criticality Assessment in Interdependent Networks via Decoupled Function Graphs," 2025 International Conference on Information Networking (ICOIN), Chiang Mai, Thailand, 2025, pp. 61-65, doi: 10.1109/ICOIN63865.2025.10992910.
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.
Table of Contents
Description
The conference's program can be found here: https://icoin.org/program_final
Date of Conference: 15-17 January 2025 Date Added to IEEE Xplore: 14 May 2025
Conference Location: Chiang Mai, Thailand
Funding Agency: 10.13039/100000001-National Science Foundation
Date of Conference: 15-17 January 2025 Date Added to IEEE Xplore: 14 May 2025
Conference Location: Chiang Mai, Thailand
Funding Agency: 10.13039/100000001-National Science Foundation
Publisher
IEEE
Journal
Book Title
Series
2025 International Conference on Information Networking (ICOIN)
Digital Collection
Finding Aid URL
Use and Reproduction
Archival Collection
PubMed ID
ISSN
2996-1580
2996-1572
2996-1572