DocumentCode :
1760662
Title :
Stability and Immunization Analysis of a Malware Spread Model Over Scale-Free Networks
Author :
Dadlani, Aresh ; Kumar, M. Senthil ; Kiseon Kim ; Sohraby, K.
Author_Institution :
Dept. of Nanobio Mater. & Electron., Gwangju Inst. of Sci. & Technol., Gwangju, South Korea
Volume :
18
Issue :
11
fYear :
2014
fDate :
Nov. 2014
Firstpage :
1907
Lastpage :
1910
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 (R0) and provide results for stability analysis at infection-free and infection-chronic equilibrium points. Based on R0, 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.
Keywords :
computer crime; invasive software; R0; connectivity properties; immunization analysis; immunization strategies; infection stages; infection-chronic equilibrium points; infection-free equilibrium points; infectious agents control; malware behavior; malware spread model; propagation vectors; proportional immunization; reproductive ratio; scale-free communication networks; spreading dynamics; stability analysis; susceptible- infected-susceptible epidemic model; targeted immunization; Analytical models; Computational modeling; Malware; Mathematical model; Numerical models; Stability analysis; Vectors; Malware modeling; basic reproductive ratio; epidemiology; immunization; scale-free network; stability analysis; stability analysis,;
fLanguage :
English
Journal_Title :
Communications Letters, IEEE
Publisher :
ieee
ISSN :
1089-7798
Type :
jour
DOI :
10.1109/LCOMM.2014.2361525
Filename :
6915859
Link To Document :
بازگشت