Literature DB >> 25871157

Impact of imperfect information on network attack.

Andrew Melchionna1,2, Jesus Caloca1,3, Shane Squires1, Thomas M Antonsen1, Edward Ott1, Michelle Girvan1.   

Abstract

This paper explores the effectiveness of network attack when the attacker has imperfect information about the network. For Erdős-Rényi networks, we observe that dynamical importance and betweenness centrality-based attacks are surprisingly robust to the presence of a moderate amount of imperfect information and are more effective compared with simpler degree-based attacks even at moderate levels of network information error. In contrast, for scale-free networks the effectiveness of attack is much less degraded by a moderate level of information error. Furthermore, in the Erdős-Rényi case the effectiveness of network attack is much more degraded by missing links as compared with the same number of false links.

Mesh:

Year:  2015        PMID: 25871157     DOI: 10.1103/PhysRevE.91.032807

Source DB:  PubMed          Journal:  Phys Rev E Stat Nonlin Soft Matter Phys        ISSN: 1539-3755


  1 in total

1.  Robustness of network attack strategies against node sampling and link errors.

Authors:  Momoko Otsuka; Sho Tsugawa
Journal:  PLoS One       Date:  2019-09-04       Impact factor: 3.240

  1 in total

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