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A novel virus-patch dynamic model

Yang, Lu-Xing and Yang, Xiaofan 2015, A novel virus-patch dynamic model, PLoS one, vol. 10, no. 9, pp. 1-16, doi: 10.1371/journal.pone.0137858.

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Title A novel virus-patch dynamic model
Author(s) Yang, Lu-Xing
Yang, Xiaofan
Journal name PLoS one
Volume number 10
Issue number 9
Article ID e0137858
Start page 1
End page 16
Total pages 16
Publisher Public Library of Science
Place of publication San Francisco, Calif.
Publication date 2015-09-14
ISSN 1932-6203
Keyword(s) internet
probability
software
system stability
dynamical systems
network analysis
bandwidth
signal processing
immunity
probability distribution
infectious disease modeling
Summary 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.
Language eng
DOI 10.1371/journal.pone.0137858
Field of Research MD Multidisciplinary
HERDC Research category C1.1 Refereed article in a scholarly journal
Copyright notice ©2015, Yang, Yang
Free to Read? Yes
Use Rights Creative Commons Attribution licence
Persistent URL http://hdl.handle.net/10536/DRO/DU:30107779

Document type: Journal Article
Collections: School of Information Technology
Open Access Collection
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Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.