A cluster UAV inspired honeycomb defense system to confront military IoT: a dynamic game approach

dc.contributorAalto-yliopistofi
dc.contributorAalto Universityen
dc.contributor.authorMeng, Yufengen_US
dc.contributor.authorXu, Jianchengen_US
dc.contributor.authorHe, Jianhuaen_US
dc.contributor.authorTao, Siqien_US
dc.contributor.authorGupta, Deepaken_US
dc.contributor.authorMoreira, Catarinaen_US
dc.contributor.authorTiwari, Prayagen_US
dc.contributor.authorGuo, Chenguangen_US
dc.contributor.departmentDepartment of Computer Scienceen
dc.contributor.organizationNorthwestern Polytechnical Universityen_US
dc.contributor.organizationGuru Gobind Singh Indraprastha Universityen_US
dc.contributor.organizationQueensland University of Technologyen_US
dc.date.accessioned2021-06-09T06:56:10Z
dc.date.available2021-06-09T06:56:10Z
dc.date.embargoinfo:eu-repo/date/embargoEnd/2022-05-12en_US
dc.date.issued2023-01en_US
dc.description| openaire: EC/H2020/101016775/EU//INTERVENE
dc.description.abstractInternet of things (IoT) technology and unmanned aerial vehicles (UAV) cluster combat technology are likely to be the key technologies deployed on the future battlefield. The present research indicates that the IoT selects the optimal strategy according to the attacker’s strategy to maintain the IoT connection. Thereafter, an IoT technology and UAV cluster technology battlefield confrontation system model is established. This system model is then transformed into a dynamic game model of the attacker and the defender, mainly considering the impact of clustered drone attacks on military IoT connectivity and the impact of military IoT technology attacks on drone combat strategies and command centers. To improve the game model and its payment function, we considered factors such as the relative weight of the IoT disconnected sensor nodes, the cost of deploying new nodes, the loss of the hive, and the number of destroyed drones. Theoretical analysis and simulation results show that the impact of the UAV cluster attack on the IoT connectivity is reduced, and the number of disconnected sensors of the attacker is lower than the number before the optimization.en
dc.description.versionPeer revieweden
dc.format.extent11
dc.format.mimetypeapplication/pdfen_US
dc.identifier.citationMeng, Y, Xu, J, He, J, Tao, S, Gupta, D, Moreira, C, Tiwari, P & Guo, C 2023, 'A cluster UAV inspired honeycomb defense system to confront military IoT : a dynamic game approach', Soft Computing, vol. 27, no. 2, pp. 1033–1043. https://doi.org/10.1007/s00500-021-05881-4en
dc.identifier.doi10.1007/s00500-021-05881-4en_US
dc.identifier.issn1432-7643
dc.identifier.issn1433-7479
dc.identifier.otherPURE UUID: 90f317d3-235e-42a9-aeea-831798f4fd84en_US
dc.identifier.otherPURE ITEMURL: https://research.aalto.fi/en/publications/90f317d3-235e-42a9-aeea-831798f4fd84en_US
dc.identifier.otherPURE FILEURL: https://research.aalto.fi/files/63806965/A_Cluster_UAV_Inspired_Honeycomb_latex20201027.pdf
dc.identifier.urihttps://aaltodoc.aalto.fi/handle/123456789/108037
dc.identifier.urnURN:NBN:fi:aalto-202106097295
dc.language.isoenen
dc.publisherSpringer
dc.relationinfo:eu-repo/grantAgreement/EC/H2020/101016775/EU//INTERVENEen_US
dc.relation.fundinginfoThis work was also supported by the Academy of Finland (grants 336033, 315896), Business Finland (grant 884/31/2018), and EU H2020 (grant 101016775).
dc.relation.ispartofseriesSoft Computingen
dc.relation.ispartofseriesVolume 27, issue 2, pp. 1033–1043en
dc.rightsopenAccessen
dc.subject.keywordCluster UAV honeycomben_US
dc.subject.keywordDronesen_US
dc.subject.keywordDynamic gameen_US
dc.subject.keywordIoTen_US
dc.subject.keywordUAVen_US
dc.titleA cluster UAV inspired honeycomb defense system to confront military IoT: a dynamic game approachen
dc.typeA1 Alkuperäisartikkeli tieteellisessä aikakauslehdessäfi
dc.type.versionacceptedVersion

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