Effects of dynamic quarantine and nonlinear infection rate in a model for computer worms propagation.

Autor: Pinto CMA; School 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.
Jazyk: angličtina
Zdroj: AIP conference proceedings [AIP Conf Proc] 2015 Mar 10; Vol. 1648 (1), pp. 350003.
DOI: 10.1063/1.4912581
Abstrakt: 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.
Databáze: MEDLINE