Modeling viral spread by random scanning and its relationship with the epidemiological model

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

This paper derives a set of discrete time difference equations that models the spreading process of computer viruses such as Code-Red and Slammer. We show that the derived equations can well evaluate the effect of countermeasures such as patching and disconnecting, which are often used to stop computer viruses, based on simulations and theories. In addition, by showing an exact relationship between the derived equations and a logistic equation, we give a clear answer to the problem: Why does the dynamics of viral spread follow a logistic equation?

Original languageEnglish
Title of host publicationProceedings - 19th IEEE International Parallel and Distributed Processing Symposium, IPDPS 2005
DOIs
Publication statusPublished - 2005 Dec 1
Externally publishedYes
Event19th IEEE International Parallel and Distributed Processing Symposium, IPDPS 2005 - Denver, CO, United States
Duration: 2005 Apr 42005 Apr 8

Publication series

NameProceedings - 19th IEEE International Parallel and Distributed Processing Symposium, IPDPS 2005
Volume2005

Conference

Conference19th IEEE International Parallel and Distributed Processing Symposium, IPDPS 2005
CountryUnited States
CityDenver, CO
Period05/4/405/4/8

ASJC Scopus subject areas

  • Engineering(all)

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  • Cite this

    Uchida, M. (2005). Modeling viral spread by random scanning and its relationship with the epidemiological model. In Proceedings - 19th IEEE International Parallel and Distributed Processing Symposium, IPDPS 2005 [1420260] (Proceedings - 19th IEEE International Parallel and Distributed Processing Symposium, IPDPS 2005; Vol. 2005). https://doi.org/10.1109/IPDPS.2005.293