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 | |
| Publication status | Published - Nov 1 2014 |
| Externally published | Yes |
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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
Cite this
Stability and immunization analysis of a malware spread model over scale-free networks. / Dadlani, Aresh; Kumar, Muthukrishnan Senthil; Kim, Kiseon; Sohraby, Khosrow.
In: IEEE Communications Letters, Vol. 18, No. 11, 6915859, 01.11.2014, p. 1907-1910.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Stability and immunization analysis of a malware spread model over scale-free networks
AU - Dadlani, Aresh
AU - Kumar, Muthukrishnan Senthil
AU - Kim, Kiseon
AU - Sohraby, Khosrow
PY - 2014/11/1
Y1 - 2014/11/1
N2 - 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.
AB - 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.
KW - basic reproductive ratio
KW - epidemiology
KW - immunization
KW - Malware modeling
KW - scale-free network
KW - stability analysis
UR - http://www.scopus.com/inward/record.url?scp=84910611810&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84910611810&partnerID=8YFLogxK
U2 - 10.1109/LCOMM.2014.2361525
DO - 10.1109/LCOMM.2014.2361525
M3 - Article
VL - 18
SP - 1907
EP - 1910
JO - IEEE Communications Letters
JF - IEEE Communications Letters
SN - 1089-7798
IS - 11
M1 - 6915859
ER -