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Cascading failures caused by node overloading in complex networks
Publikationstyp
Conference Paper
Date Issued
2016-10-25
Sprache
English
Author(s)
Institut
TORE-URI
Start Page
1
End Page
6
Article Number
7684104
Citation
IEEE Proceedings of the 2016 Joint Workshop on Cyber-Physical Security and Resilience in Smart Grids, CPSR-SG 2016 - This Workshop is Part of the CPS Week 2016: 7684104, 1-6 (2016-10-25)
Contribution to Conference
Publisher DOI
Scopus ID
Publisher
IEEE
It is well known that complex networks are vulnerable to the failure of hubs in terms of structural robustness. An as yet less researched topic is dynamical robustness, which refers to the ability of a network to maintain its dynamical activity against local disturbances. This paper analyzes the impact of overload attacks in complex networks and gives a precise definition of this type of attack using the load redistribution model. The main contribution is a greedy algorithm to select a small number of candidates for an overload attack maximizing the impact with respect to the number of failed nodes and load increase. The quality of the algorithm is analyzed for a real power grid network.
Subjects
Analytical models
Complex networks
Load modeling
Power grids
Power system faults
Power system protection
Robustness
DDC Class
004: Informatik
530: Physik