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- W2124486211 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.< <ETX xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>></ETX>" @default.
- W2124486211 created "2016-06-24" @default.
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- W2124486211 date "2002-12-10" @default.
- W2124486211 modified "2023-09-30" @default.
- W2124486211 title "Directed-graph epidemiological models of computer viruses" @default.
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- W2124486211 doi "https://doi.org/10.1109/risp.1991.130801" @default.
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