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The impact of the network topology on the viral prevalence: a node-based approach
journal contribution
posted on 2015-07-29, 00:00 authored by Luxing YangLuxing Yang, Moez Draief, Xiaofan YangThis paper addresses the impact of the structure of the viral propagation network on the viral prevalence. For that purpose, a new epidemic model of computer virus, known as the node-based SLBS model, is proposed. Our analysis shows that the maximum eigenvalue of the underlying network is a key factor determining the viral prevalence. Specifically, the value range of the maximum eigenvalue is partitioned into three subintervals: viruses tend to extinction very quickly or approach extinction or persist depending on into which subinterval the maximum eigenvalue of the propagation network falls. Consequently, computer virus can be contained by adjusting the propagation network so that its maximum eigenvalue falls into the desired subinterval.
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Journal
PLoS oneVolume
10Issue
7Article number
e0134507Pagination
1 - 15Publisher
Public Library of ScienceLocation
San Francisco, Calif.Publisher DOI
Link to full text
eISSN
1932-6203Language
engPublication classification
C Journal article; C1.1 Refereed article in a scholarly journalCopyright notice
2015, Yang et al.Usage metrics
Keywords
computer securitycomputer simulationinternetcomputer networkseigenvaluescomputerssystem stabilitycomputer modelingviral persistence and latencyinfectious disease modelingviral structureScience & TechnologyMultidisciplinary SciencesScience & Technology - Other TopicsCOMPUTER VIRUS MODELCOMPLEX NETWORKSEPIDEMIC DYNAMICSSPREADInformation Systems
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