Stability analysis of worm propagation dynamics based on quarantine

Junhua Chen*, Shengjun Wei

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Citations (Scopus)

Abstract

In recent years, there has been a constant barrage of worms over the internet. To develop appropriate tools for thwarting quick spread of worms, researchers are trying to understand the behavior of the worm propagation with the aid of epidemiological models. In this paper, two improvements of classical SIS (Susceptible-Infectious-Susceptible) and SIR (Susceptible-Infectious- Recovered) models with quarantine strategy are presented; the thresholds and equilibriums of appearance of worm endemic for these two dynamic models are found, furthermore, their stability is analyzed in detail, the numerical simulations confirmed well the theoretical results. So our study can provide insight into taking effective measures to prevent and control the spread of worm in the network.

Original languageEnglish
Title of host publicationProceedings - 2009 2nd IEEE International Conference on Computer Science and Information Technology, ICCSIT 2009
Pages380-384
Number of pages5
DOIs
Publication statusPublished - 2009
Event2009 2nd IEEE International Conference on Computer Science and Information Technology, ICCSIT 2009 - Beijing, China
Duration: 8 Aug 200911 Aug 2009

Publication series

NameProceedings - 2009 2nd IEEE International Conference on Computer Science and Information Technology, ICCSIT 2009

Conference

Conference2009 2nd IEEE International Conference on Computer Science and Information Technology, ICCSIT 2009
Country/TerritoryChina
CityBeijing
Period8/08/0911/08/09

Keywords

  • Quarantine
  • Stability
  • Threshold
  • Worm

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