@Article{cmc.2020.08595,
AUTHOR = {Muhammad Shoaib Arif, Ali Raza, Muhammad Rafiq, Mairaj Bibi, Javeria
Nawaz Abbasi, Amna Nazeer, Umer Javed},
TITLE = {Numerical Simulations for Stochastic Computer Virus Propagation Model},
JOURNAL = {Computers, Materials \& Continua},
VOLUME = {62},
YEAR = {2020},
NUMBER = {1},
PAGES = {61--77},
URL = {http://www.techscience.com/cmc/v62n1/38099},
ISSN = {1546-2226},
ABSTRACT = {We are presenting the numerical simulations for the stochastic computer virus
propagation model in this manuscript. We are comparing the solutions of stochastic and
deterministic computer virus models. Outcomes of a threshold number R<sub>0</sub> hold in
stochastic computer virus model. If R<sub>0</sub> < 1 then in such a condition virus controlled in
the computer population while R<sub>0</sub> > 1 shows virus rapidly spread in the computer
population. Unfortunately, stochastic numerical techniques fail to cope with large step
sizes of time. The suggested structure of the stochastic non-standard finite difference
technique can never violate the dynamical properties. On this basis, we can suggest a
collection of strategies for removing virus’s propagation in the computer population.},
DOI = {10.32604/cmc.2020.08595}
}