Stochastic modeling of computer virus spreading with warning signals

被引：39

作者：

Amador, Julia ^{[1
]}

Artalejo, Jesus R. ^{[2
]}

机构：

[1] Univ Complutense Madrid, Sch Stat, E-28040 Madrid, Spain

[2] Univ Complutense Madrid, Fac Math, E-28040 Madrid, Spain

来源：

JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS | 2013年 / 350卷 / 05期

关键词：

EPIDEMIC MODELS; QUASI-STATIONARY; DISTRIBUTIONS; NUMBER; SIS;

D O I：

10.1016/j.jfranklin.2013.02.008

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Modeling and understanding virus spreading is a crucial issue in computer security. Epidemiological models have been proposed to deal with this problem. We investigate the dynamics of computer virus spreading by considering an stochastic susceptible-infected-removed-susceptible (SIRS) model where immune computers send warning signals to reduce the propagation of the virus among the rest of the computers in the network. We perform an exhaustive analysis of the main indicators of the spread and persistence of the infection. To this end, we provide a detailed study of the quasi-stationary distribution, the number of cases of infection, the extinction time and the hazard time. (C) 2013 The Franklin Institute. Published by Elsevier Ltd. All rights reserved.

引用

页码：1112 / 1138

页数：27

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