Vidal's libraryTitle: | Directed-Graph Epidemiological Models of Computer Viruses |
Author: | Jeffrey O. Kephart and Steve R. White |
Book Tittle: | Proceedings of the IEEE Computer Society Symposium on Research in Security and Privacy |
Pages: | 343--359 |
Year: | 1991 |
DOI: | 10.1109/RISP.1991.130801 |
Abstract: | The strong analogy between biological viruses and their computational counterparts has motivated the authors to adapt the techniques of mathematical epidemiology to the study of computer virus propagation. In order to allow for the most general patterns of program sharing, a standard epidemiological model is extended by placing it on a directed graph and a combination of analysis and simulation is used to study its behavior. The conditions under which epidemics are likely to occur are determined, and, in cases where they do, the dynamics of the expected number of infected individuals are examined as a function of time. It is concluded that an imperfect defense against computer viruses can still be highly effective in preventing their widespread proliferation, provided that the infection rate does not exceed a well-defined critical epidemic threshold. |
Cited by 121 - Google Scholar
@InProceedings{kephart91a,
author = {Jeffrey O. Kephart and Steve R. White},
title = {Directed-Graph Epidemiological Models of Computer
Viruses},
booktitle = {Proceedings of the {IEEE} Computer Society Symposium
on Research in Security and Privacy},
pages = {343--359},
year = 1991,
abstract = {The strong analogy between biological viruses and
their computational counterparts has motivated the
authors to adapt the techniques of mathematical
epidemiology to the study of computer virus
propagation. In order to allow for the most general
patterns of program sharing, a standard
epidemiological model is extended by placing it on a
directed graph and a combination of analysis and
simulation is used to study its behavior. The
conditions under which epidemics are likely to occur
are determined, and, in cases where they do, the
dynamics of the expected number of infected
individuals are examined as a function of time. It
is concluded that an imperfect defense against
computer viruses can still be highly effective in
preventing their widespread proliferation, provided
that the infection rate does not exceed a
well-defined critical epidemic threshold.},
keywords = {security biology},
url = {http://jmvidal.cse.sc.edu/library/kephart91a.pdf},
googleid = {NjyHxRxuNxkJ:scholar.google.com/},
doi = {10.1109/RISP.1991.130801},
cluster = {1817042044519398454}
}
Last modified: Wed Mar 9 10:13:48 EST 2011