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

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To access the full text documents, please follow this link: http://hdl.handle.net/10230/32763

dc.contributor.author	Rullo, Antonino
dc.contributor.author	Serra, Edoardo
dc.contributor.author	Bertino, Elisa
dc.contributor.author	Lobo, Jorge
dc.date	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.citation	0302-9743
dc.identifier.citation	http://dx.doi.org/10.1007/978-3-319-66399-9
dc.identifier.uri	http://hdl.handle.net/10230/32763
dc.format	application/pdf
dc.language.iso	eng
dc.publisher	Springer
dc.relation	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	info:eu-repo/grantAgreement/ES/1PE/TIN2016-81032-P
dc.rights	info:eu-repo/semantics/openAccess
dc.rights	© Springer The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-319-66399-9
dc.subject	Network security
dc.subject	Internet of Things
dc.subject	Stochastic allocation
dc.title	Shortfall-based optimal placement of security resources for mobile IoT scenarios
dc.type	info:eu-repo/semantics/conferenceObject
dc.type	info:eu-repo/semantics/acceptedVersion
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.abstract	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.description.abstract	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

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