2016
DOI: 10.1109/jsyst.2014.2324751
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System Dynamics of a Refined Epidemic Model for Infection Propagation Over Complex Networks

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Cited by 32 publications
(15 citation statements)
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“…Chakrabarti et al [101] formulates a general network model for SIS based on graph theory adjacent matrix. Dadlani et al [102] uses the SIS model incorporated with infection delay and infective medium vector over complex networks and finds that these two variables accelerate the infection spread in the population. Wierman et.al [103] uses the SIS model to computer virus with possibility of reintroduction.…”
Section: B) Sis ( Susceptible Infected Susceptible ) Modelmentioning
confidence: 99%
“…Chakrabarti et al [101] formulates a general network model for SIS based on graph theory adjacent matrix. Dadlani et al [102] uses the SIS model incorporated with infection delay and infective medium vector over complex networks and finds that these two variables accelerate the infection spread in the population. Wierman et.al [103] uses the SIS model to computer virus with possibility of reintroduction.…”
Section: B) Sis ( Susceptible Infected Susceptible ) Modelmentioning
confidence: 99%
“…Validated by simulation, we compare the analytical plots with that of the basic SIS model to demonstrate the impact of additional refinements on the increase in the spreading process. Such increase in the infected density justifies the reduction of the epidemic threshold for the malware model as studied in [7]. Each simulation result in Fig.…”
Section: Model Formulation and Stability Analysismentioning
confidence: 77%
“…The malware propagation model adopted from [7] is shown in Fig. 1, where S(t), I i (t), and V j (t) denote the densities of susceptible nodes, nodes in the i th infection stage (i = 0, 1, .…”
Section: Model Formulation and Stability Analysismentioning
confidence: 99%
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