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Designing virus-resistant, high-performance networks : A game-formation approach. / Trajanovski, Stojan; Kuipers, Fernando A.; Hayel, Yezekael; Altman, Eitan; Van Mieghem, Piet.

In: IEEE Transactions on Control of Network Systems, Vol. PP, No. 99, 2018, p. 1-10.

Research output: Scientific - peer-reviewArticle

Harvard

Trajanovski, S, Kuipers, FA, Hayel, Y, Altman, E & Van Mieghem, P 2018, 'Designing virus-resistant, high-performance networks: A game-formation approach' IEEE Transactions on Control of Network Systems, vol PP, no. 99, pp. 1-10. DOI: 10.1109/TCNS.2017.2747840

APA

Vancouver

Trajanovski S, Kuipers FA, Hayel Y, Altman E, Van Mieghem P. Designing virus-resistant, high-performance networks: A game-formation approach. IEEE Transactions on Control of Network Systems. 2018;PP(99):1-10. Available from, DOI: 10.1109/TCNS.2017.2747840

Author

Trajanovski, Stojan ; Kuipers, Fernando A. ; Hayel, Yezekael ; Altman, Eitan ; Van Mieghem, Piet. / Designing virus-resistant, high-performance networks : A game-formation approach. In: IEEE Transactions on Control of Network Systems. 2018 ; Vol. PP, No. 99. pp. 1-10

BibTeX

@article{f83f422354a74c56b27b2b054813cb7e,
title = "Designing virus-resistant, high-performance networks: A game-formation approach",
abstract = "Designing an optimal network topology while balancing multiple, possibly conflicting objectives like cost, performance, and resiliency to viruses is a challenging endeavor, let alone in the case of decentralized network formation. We therefore propose a game-formation technique where each player aims to minimize its cost in installing links, the probability of being infected by a virus and the sum of hopcounts on its shortest paths to all other nodes.",
keywords = "Game theory, Network design, Network performance, Networks of Autonomous Agents, Virus spread",
author = "Stojan Trajanovski and Kuipers, {Fernando A.} and Yezekael Hayel and Eitan Altman and {Van Mieghem}, Piet",
note = "This article has been accepted for publication in a future issue of this journal, but has not been fully edited. Content may change prior to final publication.",
year = "2018",
doi = "10.1109/TCNS.2017.2747840",
volume = "PP",
pages = "1--10",
journal = "IEEE Transactions on Control of Network Systems",
issn = "2325-5870",
publisher = "IEEE Control Systems Society",
number = "99",

}

RIS

TY - JOUR

T1 - Designing virus-resistant, high-performance networks

T2 - IEEE Transactions on Control of Network Systems

AU - Trajanovski,Stojan

AU - Kuipers,Fernando A.

AU - Hayel,Yezekael

AU - Altman,Eitan

AU - Van Mieghem,Piet

N1 - This article has been accepted for publication in a future issue of this journal, but has not been fully edited. Content may change prior to final publication.

PY - 2018

Y1 - 2018

N2 - Designing an optimal network topology while balancing multiple, possibly conflicting objectives like cost, performance, and resiliency to viruses is a challenging endeavor, let alone in the case of decentralized network formation. We therefore propose a game-formation technique where each player aims to minimize its cost in installing links, the probability of being infected by a virus and the sum of hopcounts on its shortest paths to all other nodes.

AB - Designing an optimal network topology while balancing multiple, possibly conflicting objectives like cost, performance, and resiliency to viruses is a challenging endeavor, let alone in the case of decentralized network formation. We therefore propose a game-formation technique where each player aims to minimize its cost in installing links, the probability of being infected by a virus and the sum of hopcounts on its shortest paths to all other nodes.

KW - Game theory

KW - Network design

KW - Network performance

KW - Networks of Autonomous Agents

KW - Virus spread

UR - http://www.scopus.com/inward/record.url?scp=85029178249&partnerID=8YFLogxK

U2 - 10.1109/TCNS.2017.2747840

DO - 10.1109/TCNS.2017.2747840

M3 - Article

VL - PP

SP - 1

EP - 10

JO - IEEE Transactions on Control of Network Systems

JF - IEEE Transactions on Control of Network Systems

SN - 2325-5870

IS - 99

ER -

ID: 31834393