TUHH Open Research
Help
  • Log In
    New user? Click here to register.Have you forgotten your password?
  • English
  • Deutsch
  • Communities & Collections
  • Publications
  • Research Data
  • People
  • Institutions
  • Projects
  • Statistics
  1. Home
  2. TUHH
  3. Publication References
  4. Cascading failures in complex networks caused by overload attacks
 
Options

Cascading failures in complex networks caused by overload attacks

Publikationstyp
Journal Article
Date Issued
2019-12-01
Sprache
English
Author(s)
Turau, Volker  
Weyer, Christoph  orcid-logo
Institut
Telematik E-17  
TORE-URI
http://hdl.handle.net/11420/3695
Journal
Journal of heuristics  
Volume
25
Issue
6
Start Page
837
End Page
859
Citation
Journal of Heuristics 6 (25): 837-859 (2019-12-01)
Publisher DOI
10.1007/s10732-019-09413-0
Scopus ID
2-s2.0-85065388391
Complex networks are known to be vulnerable to the failure of components 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 introduces a new type of attack—the overload attack—to disturb the network’s dynamical activity. The attack is based on the load redistribution model for sequential attacks. The main contribution are heuristics to assess the vulnerability of complex networks with respect to this type of attack. The effectiveness of the heuristics is demonstrated with an application for real power networks.
Subjects
Cascading failures
Complex networks
Overload attack
Funding(s)
Fehlertolerante verteilte Algorithmen  
TUHH
Weiterführende Links
  • Contact
  • Send Feedback
  • Cookie settings
  • Privacy policy
  • Impress
DSpace Software

Built with DSpace-CRIS software - Extension maintained and optimized by 4Science
Design by effective webwork GmbH

  • Deutsche NationalbibliothekDeutsche Nationalbibliothek
  • ORCiD Member OrganizationORCiD Member Organization
  • DataCiteDataCite
  • Re3DataRe3Data
  • OpenDOAROpenDOAR
  • OpenAireOpenAire
  • BASE Bielefeld Academic Search EngineBASE Bielefeld Academic Search Engine
Feedback