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dc.contributor.authorLiu, Xu
dc.contributor.authorDi, Xiaoqiang
dc.contributor.authorLi, Jinqing
dc.contributor.authorWang, Huan
dc.contributor.authorZhao, Jinping
dc.contributor.authorYang, Huamin
dc.contributor.authorCong, Ligang
dc.contributor.authorJiang, Yuming
dc.date.accessioned2020-01-23T13:43:06Z
dc.date.available2020-01-23T13:43:06Z
dc.date.created2019-09-03T14:09:24Z
dc.date.issued2019
dc.identifier.citationMathematical problems in engineering. 2019, 2019 1-16.nb_NO
dc.identifier.issn1024-123X
dc.identifier.urihttp://hdl.handle.net/11250/2637686
dc.description.abstractResource allocation is the process of optimizing the rare resources. In the area of security, how to allocate limited resources to protect a massive number of targets is especially challenging. This paper addresses this resource allocation issue by constructing a game theoretic model. A defender and an attacker are players and the interaction is formulated as a trade-off between protecting targets and consuming resources. The action cost which is a necessary role of consuming resource is considered in the proposed model. Additionally, a bounded rational behavior model (quantal response: QR), which simulates a human attacker of the adversarial nature, is introduced to improve the proposed model. To validate the proposed model, we compare the different utility functions and resource allocation strategies. The comparison results suggest that the proposed resource allocation strategy performs better than others in the perspective of utility and resource effectiveness.nb_NO
dc.language.isoengnb_NO
dc.publisherHindawi Publishing Corporationnb_NO
dc.relation.urihttps://doi.org/10.1155/2019/5475341
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titleAllocating Limited Resources to Protect a Massive Number of Targets Using a Game Theoretic Modelnb_NO
dc.typeJournal articlenb_NO
dc.typePeer reviewednb_NO
dc.description.versionpublishedVersionnb_NO
dc.source.pagenumber1-16nb_NO
dc.source.volume2019nb_NO
dc.source.journalMathematical problems in engineeringnb_NO
dc.identifier.doi10.1155/2019/5475341
dc.identifier.cristin1721051
dc.description.localcodeCopyright © 2019 Xu Liu et al. Tis is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.nb_NO
cristin.unitcode194,63,30,0
cristin.unitnameInstitutt for informasjonssikkerhet og kommunikasjonsteknologi
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


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