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Updated: Dec 24, 2025

Using Single-Worm Data to Quantify Heterogeneity in Caenorhabditis elegans-Bacterial Interactions
Published on: July 22, 2022
Effects of dynamic quarantine and nonlinear infection rate in a model for computer worms propagation
1School of Engineering, Polytechnic of Porto, and Centre for Mathematics, University of Porto, Rua Dr António Bernardino de Almeida, 431, 4200-072 Porto, Portugal cap@isep.ipp.pt.
Abstract:
We propose a new model for computer worms propagation, using dynamic quarantine and a nonlinear infection rate. The dynamic quarantine is based in epidemic disease control methods and in the principle 'assume guilty before proven inocent'. This means that the host is blocked whenever its behavior looks suspicious. After a short time, the quarantined computer is released. The nonlinear infection rate is used to capture the dynamics of overcrowded infectious networks and high viral loads. We simulate numerically the model for distinct values of the quarantine times. We observe that increasing the quarantine time decreases the number of infectious hosts in the network.
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