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author:

Lin, Bing (Lin, Bing.) [1] | Guo, Wenzhong (Guo, Wenzhong.) [2] (Scholars:郭文忠) | Chen, Guolong (Chen, Guolong.) [3] (Scholars:陈国龙)

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EI Scopus

Abstract:

In terms of weighted scale-free networks' properties, this paper proposes edges immunization based on discrete particle swarm optimization algorithm. We translate the virus immunization problem to a multi-objective optimization problem in this paper. After a set of edges are immunized, the network is divided into sub-networks whose nodes strength and average path length are as small as possible. Experiment results show that the proposed algorithm has a higher spread threshold and better performance than the traditional immunization strategies. © 2012 IEEE.

Keyword:

Immunization Multiobjective optimization Particle swarm optimization (PSO) Scales (weighing instruments) Ubiquitous computing Viruses Web services

Community:

  • [ 1 ] [Lin, Bing]College of Mathematics and Computer Sciences, Fuzhou University, Fuzhou 350108, China
  • [ 2 ] [Guo, Wenzhong]College of Mathematics and Computer Sciences, Fuzhou University, Fuzhou 350108, China
  • [ 3 ] [Guo, Wenzhong]School of Computer Science, National University of Defense and Technology, Changsha 410073, China
  • [ 4 ] [Chen, Guolong]College of Mathematics and Computer Sciences, Fuzhou University, Fuzhou 350108, China

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Year: 2012

Page: 384-389

Language: English

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count: 3

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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