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

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• dc.contributor.author Rullo, Antoninoca
• dc.contributor.author Serra, Edoardoca
• dc.contributor.author Bertino, Elisaca
• dc.contributor.author Lobo, Jorgeca
• dc.date.accessioned 2017-09-14T12:20:02Z
• dc.date.available 2017-09-14T12:20:02Z
• dc.date.issued 2017
• 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.en
• 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.en
• dc.format.mimetype application/pdf
• 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.doi http://dx.doi.org/10.1007/978-3-319-66399-9
• dc.identifier.issn 0302-9743
• dc.identifier.uri http://hdl.handle.net/10230/32763
• dc.language.iso eng
• dc.publisher Springerca
• 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.relation.projectID info:eu-repo/grantAgreement/ES/1PE/TIN2016-81032-P
• dc.rights © Springer The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-319-66399-9
• dc.rights.accessRights info:eu-repo/semantics/openAccess
• dc.subject.keyword Network securityen
• dc.subject.keyword Internet of Thingsen
• dc.subject.keyword Stochastic allocationen
• dc.title Shortfall-based optimal placement of security resources for mobile IoT scenariosca
• dc.type info:eu-repo/semantics/conferenceObject
• dc.type.version info:eu-repo/semantics/acceptedVersion