Stability and immunization analysis of a malware spread model over scale-free networks

Aresh Dadlani; Muthukrishnan Senthil Kumar; Kiseon Kim; Khosrow Sohraby

doi:10.1109/LCOMM.2014.2361525

Stability and immunization analysis of a malware spread model over scale-free networks

Aresh Dadlani, Muthukrishnan Senthil Kumar, Kiseon Kim, Khosrow Sohraby

Research output: Contribution to journal › Article › peer-review

9 Citations (Scopus)

Abstract

The spreading dynamics and control of infectious agents primarily depend on the connectivity properties of underlying networks. Here, we investigate the stability of a susceptible-infected-susceptible epidemic model incorporated with multiple infection stages and propagation vectors to mimic malware behavior over scale-free communication networks. In particular, we derive the basic reproductive ratio (R{0}) and provide results for stability analysis at infection-free and infection-chronic equilibrium points. Based on R{0}, the effectiveness of four prevailing immunization strategies as countermeasures is studied and compared. The outperformance of proportional and targeted immunization is justified via numerical results.

Original language	English
Article number	6915859
Pages (from-to)	1907-1910
Number of pages	4
Journal	IEEE Communications Letters
Volume	18
Issue number	11
DOIs	https://doi.org/10.1109/LCOMM.2014.2361525
Publication status	Published - Nov 1 2014
Externally published	Yes

Keywords

basic reproductive ratio
epidemiology
immunization
Malware modeling
scale-free network
stability analysis

ASJC Scopus subject areas

Modelling and Simulation
Computer Science Applications
Electrical and Electronic Engineering

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