Open Access
ARTICLE
Numerical Simulations for Stochastic Computer Virus Propagation Model
Muhammad Shoaib Arif1, *, Ali Raza1, Muhammad Rafiq2, Mairaj Bibi3, Javeria
Nawaz Abbasi3, Amna Nazeer3, Umer Javed4
1 Stochastic Analysis & Optimization Research Group, Department of Mathematics, Air University, PAF Complex E-9, Islamabad, Pakistan.
2 Faculty of Engineering University of Central Punjab, Lahore, Pakistan.
3 Department of Mathematics, Comsats University, Chak Shahzad Campus, Islamabad, Pakistan.
4 Department of Electrical and Computer Engineering, Comsats University, Wah Campus, Islamabad, Pakistan.
* Corresponding Author: Muhammad Shoaib Arif. Email: .
Computers, Materials & Continua 2020, 62(1), 61-77. https://doi.org/10.32604/cmc.2020.08595
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
0 hold in
stochastic computer virus model. If R
0 < 1 then in such a condition virus controlled in
the computer population while R
0 > 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.
Keywords
Cite This Article
M. Shoaib Arif, A. Raza, M. Rafiq, M. Bibi, J. Abbasi
et al., "Numerical simulations for stochastic computer virus propagation model,"
Computers, Materials & Continua, vol. 62, no.1, pp. 61–77, 2020. https://doi.org/10.32604/cmc.2020.08595
Citations