A Novel Virus-Patch Dynamic Model.

The distributed patch dissemination strategies are a promising alternative to the conventional centralized patch dissemination strategies. This paper aims to establish a theoretical framework for evaluating the effectiveness of distributed patch dissemination mechanism. Assuming that the Internet of...

Full description

Bibliographic Details
Main Authors: Lu-Xing Yang, Xiaofan Yang
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2015-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC4569285?pdf=render
id doaj-8f64e08efabf404d8099d2db501cfff8
record_format Article
spelling doaj-8f64e08efabf404d8099d2db501cfff82020-11-25T01:52:38ZengPublic Library of Science (PLoS)PLoS ONE1932-62032015-01-01109e013785810.1371/journal.pone.0137858A Novel Virus-Patch Dynamic Model.Lu-Xing YangXiaofan YangThe distributed patch dissemination strategies are a promising alternative to the conventional centralized patch dissemination strategies. This paper aims to establish a theoretical framework for evaluating the effectiveness of distributed patch dissemination mechanism. Assuming that the Internet offers P2P service for every pair of nodes on the network, a dynamic model capturing both the virus propagation mechanism and the distributed patch dissemination mechanism is proposed. This model takes into account the infected removable storage media and hence captures the interaction of patches with viruses better than the original SIPS model. Surprisingly, the proposed model exhibits much simpler dynamic properties than the original SIPS model. Specifically, our model admits only two potential (viral) equilibria and undergoes a fold bifurcation. The global stabilities of the two equilibria are determined. Consequently, the dynamical properties of the proposed model are fully understood. Furthermore, it is found that reducing the probability per unit time of disconnecting a node from the Internet benefits the containment of electronic viruses.http://europepmc.org/articles/PMC4569285?pdf=render
collection DOAJ
language English
format Article
sources DOAJ
author Lu-Xing Yang
Xiaofan Yang
spellingShingle Lu-Xing Yang
Xiaofan Yang
A Novel Virus-Patch Dynamic Model.
PLoS ONE
author_facet Lu-Xing Yang
Xiaofan Yang
author_sort Lu-Xing Yang
title A Novel Virus-Patch Dynamic Model.
title_short A Novel Virus-Patch Dynamic Model.
title_full A Novel Virus-Patch Dynamic Model.
title_fullStr A Novel Virus-Patch Dynamic Model.
title_full_unstemmed A Novel Virus-Patch Dynamic Model.
title_sort novel virus-patch dynamic model.
publisher Public Library of Science (PLoS)
series PLoS ONE
issn 1932-6203
publishDate 2015-01-01
description The distributed patch dissemination strategies are a promising alternative to the conventional centralized patch dissemination strategies. This paper aims to establish a theoretical framework for evaluating the effectiveness of distributed patch dissemination mechanism. Assuming that the Internet offers P2P service for every pair of nodes on the network, a dynamic model capturing both the virus propagation mechanism and the distributed patch dissemination mechanism is proposed. This model takes into account the infected removable storage media and hence captures the interaction of patches with viruses better than the original SIPS model. Surprisingly, the proposed model exhibits much simpler dynamic properties than the original SIPS model. Specifically, our model admits only two potential (viral) equilibria and undergoes a fold bifurcation. The global stabilities of the two equilibria are determined. Consequently, the dynamical properties of the proposed model are fully understood. Furthermore, it is found that reducing the probability per unit time of disconnecting a node from the Internet benefits the containment of electronic viruses.
url http://europepmc.org/articles/PMC4569285?pdf=render
work_keys_str_mv AT luxingyang anovelviruspatchdynamicmodel
AT xiaofanyang anovelviruspatchdynamicmodel
AT luxingyang novelviruspatchdynamicmodel
AT xiaofanyang novelviruspatchdynamicmodel
_version_ 1724993962073128960