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Shortfall-based optimal placement of security resources for mobile IoT scenarios

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dc.contributor.author Rullo, Antonino
dc.contributor.author Serra, Edoardo
dc.contributor.author Bertino, Elisa
dc.contributor.author Lobo, Jorge
dc.date.accessioned 2017-09-14T12:20:02Z
dc.date.available 2017-09-14T12:20:02Z
dc.date.issued 2017
dc.identifier.citation Rullo A, Serra E, Bertino E, Lobo J. Shortfall-based optimal placement of security resources for mobile IoT scenarios. In: Computer Security – ESORICS 2017. 22nd European Symposium on Research in Computer Security, Proceedings, Part II; 2017 Sept 11-15; Oslo, Norway. Heidelberg: Springer; 2017. p. 419-36. (LNCS; no. 10493). DOI: 10.1007/978-3-319-66399-9
dc.identifier.issn 0302-9743
dc.identifier.uri http://hdl.handle.net/10230/32763
dc.description Comunicació presentada a: the 22nd European Symposium on Research in Computer Security, celebrada de l'11 al 15 de setembre de 2017 a Oslo, Noruega
dc.description.abstract We present a method for computing the best provisioning of security resources for Internet of Things (IoT) scenarios characterized by a high degree of mobility. The security infrastructure is specifed by a security resource allocation plan computed as the solution of an optimization problem that minimizes the risk of having IoT devices not monitored by any resource. Due the mobile nature of IoT devices, a probabilistic framework for modeling such scenarios is adopted. We adapt the concept of shortfall from economics as a risk measure and show how to compute and evaluate the quality of an allocation plan. The proposed approach fits well with applications such as vehicular networks, mobile ad-hoc networks, smart cities, or any IoT environment characterized by mobile devices that needs a monitoring infrastructure.
dc.description.sponsorship Jorge Lobo was partially supported by the Secretaria de Universitats i Recerca de la Generalitat de Catalunya, the Maria de Maeztu Units of Excellence Programme and the Spanish Ministry for Economy and Competitiveness (MINECO) under Grant Ref.: TIN2016-81032-P.
dc.format.mimetype application/pdf
dc.language.iso eng
dc.publisher Springer
dc.relation.ispartof Computer Security – ESORICS 2017. 22nd European Symposium on Research in Computer Security, Proceedings, Part II; 2017 Sept 11-15; Oslo, Norway. Heidelberg: Springer; 2017. p. 419-36. (LNCS; no. 10493).
dc.rights © Springer The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-319-66399-9
dc.title Shortfall-based optimal placement of security resources for mobile IoT scenarios
dc.type info:eu-repo/semantics/conferenceObject
dc.identifier.doi http://dx.doi.org/10.1007/978-3-319-66399-9
dc.subject.keyword Network security
dc.subject.keyword Internet of Things
dc.subject.keyword Stochastic allocation
dc.relation.projectID info:eu-repo/grantAgreement/ES/1PE/TIN2016-81032-P
dc.rights.accessRights info:eu-repo/semantics/openAccess
dc.type.version info:eu-repo/semantics/acceptedVersion

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