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http://hdl.handle.net/10773/26036
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DC Field | Value | Language |
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dc.contributor.author | Gonçalves, João N.C. | pt_PT |
dc.contributor.author | Rodrigues, Helena Sofia | pt_PT |
dc.contributor.author | Monteiro, M. Teresa T. | pt_PT |
dc.date.accessioned | 2019-05-13T13:53:35Z | - |
dc.date.available | 2019-05-13T13:53:35Z | - |
dc.date.issued | 2019 | - |
dc.identifier.issn | 0143-2087 | pt_PT |
dc.identifier.uri | http://hdl.handle.net/10773/26036 | - |
dc.description.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. | pt_PT |
dc.language.iso | eng | pt_PT |
dc.publisher | Wiley | pt_PT |
dc.relation | This research has been supported by FCT – Fundação para a Ciência e Tecnologia within the project scopes: UID/MAT/04106/2019, through CIDMA – Center for Research and Development in Mathematics and Applications, and UID/CEC/00319/2019, through ALGORITMI R&D Center | pt_PT |
dc.rights | restrictedAccess | pt_PT |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | pt_PT |
dc.subject | Optimal control | pt_PT |
dc.subject | Malware propagation | pt_PT |
dc.subject | SCIRS epidemiological model | pt_PT |
dc.title | Optimal control measures for a susceptible‐carrier‐infectious‐recovered‐susceptible malware propagation model | pt_PT |
dc.type | article | pt_PT |
dc.description.version | published | pt_PT |
dc.peerreviewed | yes | pt_PT |
degois.publication.title | Optimal Control Applications and Methods | pt_PT |
dc.identifier.doi | 10.1002/oca.2505 | pt_PT |
dc.identifier.essn | 1099-1514 | pt_PT |
Appears in Collections: | CIDMA - Artigos PSG - Artigos |
Files in This Item:
File | Description | Size | Format | |
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optimal_control_final_version.pdf | 918.12 kB | Adobe PDF |
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