Optimal control measures for a susceptible-carrier-infectious-recovered-susceptible malware propagation model

João N. C. Gonçalves*, Helena Sofia Rodrigues, M. Teresa T. Monteiro

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

6 Citations (Scopus)

Abstract

Purposing to lessen malware propagation, this paper proposes optimal control measures for a susceptible-carrier-infectious-recovered-susceptible (SCIRS) epidemiological model formed by a system of ordinary differential equations. By taking advantage of real-world data related to the number of reported cybercrimes in Japan from 2012 to 2017, an optimal control problem is formulated to minimize the number of infected devices in a cost-effective way. The existence and uniqueness of the results related to the optimality system are proved. Overall, numerical simulations show the usefulness of the proposed control strategies in reducing the spread of malware infections.
Original languageEnglish
Pages (from-to)691-702
Number of pages12
JournalOptimal Control Applications and Methods
Volume40
Issue number4
DOIs
Publication statusPublished - 1 Jul 2019
Externally publishedYes

Keywords

  • Malware propagation
  • Optimal control
  • Optimal control application
  • SCIRS epidemiological model

Fingerprint

Dive into the research topics of 'Optimal control measures for a susceptible-carrier-infectious-recovered-susceptible malware propagation model'. Together they form a unique fingerprint.

Cite this