Network immunization and virus propagation in email networks: Experimental evaluation and analysis

Chao Gao, Jiming LIU*, Ning Zhong

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

72 Citations (Scopus)

Abstract

Network immunization strategies have emerged as possible solutions to the challenges of virus propagation. In this paper, an existing interactive model is introduced and then improved in order to better characterize the way a virus spreads in email networks with different topologies. The model is used to demonstrate the effects of a number of key factors, notably nodes' degree and betweenness. Experiments are then performed to examine how the structure of a network and human dynamics affects virus propagation. The experimental results have revealed that a virus spreads in two distinct phases and shown that the most efficient immunization strategy is the node-betweenness strategy. Moreover, those results have also explained why old virus can survive in networks nowadays from the aspects of human dynamics.

Original languageEnglish
Pages (from-to)253-279
Number of pages27
JournalKnowledge and Information Systems
Volume27
Issue number2
DOIs
Publication statusPublished - May 2011

Scopus Subject Areas

  • Software
  • Information Systems
  • Human-Computer Interaction
  • Hardware and Architecture
  • Artificial Intelligence

User-Defined Keywords

  • Email networks
  • Enron
  • Human dynamics
  • Immunization strategies
  • Virus propagation

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