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Hybrid Epidemics—A Case Study on Computer Worm Conficker

Conficker is a computer worm that erupted on the Internet in 2008. It is unique in combining three different spreading strategies: local probing, neighbourhood probing, and global probing. We propose a mathematical model that combines three modes of spreading: local, neighbourhood, and global, to ca...

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Detalles Bibliográficos
Autores principales: Zhang, Changwang, Zhou, Shi, Chain, Benjamin M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4433115/
https://www.ncbi.nlm.nih.gov/pubmed/25978309
http://dx.doi.org/10.1371/journal.pone.0127478
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author Zhang, Changwang
Zhou, Shi
Chain, Benjamin M.
author_facet Zhang, Changwang
Zhou, Shi
Chain, Benjamin M.
author_sort Zhang, Changwang
collection PubMed
description Conficker is a computer worm that erupted on the Internet in 2008. It is unique in combining three different spreading strategies: local probing, neighbourhood probing, and global probing. We propose a mathematical model that combines three modes of spreading: local, neighbourhood, and global, to capture the worm’s spreading behaviour. The parameters of the model are inferred directly from network data obtained during the first day of the Conficker epidemic. The model is then used to explore the tradeoff between spreading modes in determining the worm’s effectiveness. Our results show that the Conficker epidemic is an example of a critically hybrid epidemic, in which the different modes of spreading in isolation do not lead to successful epidemics. Such hybrid spreading strategies may be used beneficially to provide the most effective strategies for promulgating information across a large population. When used maliciously, however, they can present a dangerous challenge to current internet security protocols.
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spelling pubmed-44331152015-05-27 Hybrid Epidemics—A Case Study on Computer Worm Conficker Zhang, Changwang Zhou, Shi Chain, Benjamin M. PLoS One Research Article Conficker is a computer worm that erupted on the Internet in 2008. It is unique in combining three different spreading strategies: local probing, neighbourhood probing, and global probing. We propose a mathematical model that combines three modes of spreading: local, neighbourhood, and global, to capture the worm’s spreading behaviour. The parameters of the model are inferred directly from network data obtained during the first day of the Conficker epidemic. The model is then used to explore the tradeoff between spreading modes in determining the worm’s effectiveness. Our results show that the Conficker epidemic is an example of a critically hybrid epidemic, in which the different modes of spreading in isolation do not lead to successful epidemics. Such hybrid spreading strategies may be used beneficially to provide the most effective strategies for promulgating information across a large population. When used maliciously, however, they can present a dangerous challenge to current internet security protocols. Public Library of Science 2015-05-15 /pmc/articles/PMC4433115/ /pubmed/25978309 http://dx.doi.org/10.1371/journal.pone.0127478 Text en © 2015 Zhang et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Zhang, Changwang
Zhou, Shi
Chain, Benjamin M.
Hybrid Epidemics—A Case Study on Computer Worm Conficker
title Hybrid Epidemics—A Case Study on Computer Worm Conficker
title_full Hybrid Epidemics—A Case Study on Computer Worm Conficker
title_fullStr Hybrid Epidemics—A Case Study on Computer Worm Conficker
title_full_unstemmed Hybrid Epidemics—A Case Study on Computer Worm Conficker
title_short Hybrid Epidemics—A Case Study on Computer Worm Conficker
title_sort hybrid epidemics—a case study on computer worm conficker
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4433115/
https://www.ncbi.nlm.nih.gov/pubmed/25978309
http://dx.doi.org/10.1371/journal.pone.0127478
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