Please use this identifier to cite or link to this item:
http://hdl.handle.net/10773/35383
Title: | Preventing computer virus prevalence using epidemiological modeling and optimal control |
Author: | Goncalves, João N.C. Rodrigues, Helena Sofia Monteiro, M. Teresa T. |
Keywords: | Computer viruses Optimal control theory Epidemological models Network EpiModel package |
Issue Date: | 2020 |
Publisher: | L&H Scientific Publishing |
Abstract: | Computer viruses are a serious threat to the general society, due to their implications for private life and corporative systems. This paper begins to briefly illustrate the dynamics of computer viruses within a network system, by taking advantage of the EpiModel R package and using a SIR (Susceptible–Infected–Recovered) epidemic model. However, since devices are not constantly immune to cyberattacks, a SIRS model with an optimal control application is proposed to minimize the levels of infections caused by malicious objects. Additionally, real numerical data related to the number of reported cybercrimes in Japan from 2012 to 2017 are considered. The existence and uniqueness of an optimal control for the proposed control problem are proved. Under proper investment costs, numerical simulations in Matlab show the effectiveness of the proposed control strategy in increasing the rate of immunity and decreasing the chances of re–susceptibility to cyberattacks. |
Peer review: | yes |
URI: | http://hdl.handle.net/10773/35383 |
DOI: | 10.5890/DNC.2020.06.002 |
ISSN: | 2164-6376 |
Appears in Collections: | CIDMA - Artigos SCG - Artigos |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
DNC_2020_FINAL_VERSION.pdf | 2.16 MB | Adobe PDF | View/Open |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.