Optimal control measures for a susceptible‐carrier‐infectious‐recovered‐susceptible malware propagation model
| Autor: | M. Teresa T. Monteiro, João N.C. Gonçalves, Helena Sofia Rodrigues |
|---|---|
| Přispěvatelé: | Universidade do Minho |
| Rok vydání: | 2019 |
| Předmět: |
Control and Optimization
Computer science 02 engineering and technology computer.software_genre 01 natural sciences 010305 fluids & plasmas Malware propagation 0103 physical sciences 0202 electrical engineering electronic engineering information engineering Science & Technology Optimal control application business.industry Applied Mathematics Ciências Naturais::Ciências da Computação e da Informação Optimal control Control and Systems Engineering Malware 020201 artificial intelligence & image processing Ciências da Computação e da Informação [Ciências Naturais] SCIRS epidemiological model business computer Software Computer network |
| Zdroj: | Repositório Científico de Acesso Aberto de Portugal Repositório Científico de Acesso Aberto de Portugal (RCAAP) instacron:RCAAP |
| ISSN: | 1099-1514 0143-2087 |
| DOI: | 10.1002/oca.2505 |
| Popis: | 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. Fundação para a Ciência e Tecnologia, Grant/Award Number: UID/MAT/04106/2019 and UID/CEC/00319/2019 |
| Databáze: | OpenAIRE |
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