CoLLIDE: cloud latency-based identification

As services steadily migrate to the Cloud, the availability of an overarching identity framework has become a stringent need. Moreover, such an identity framework is now critical in the Internet of Things. To address this problem, identification solutions have been proposed in the past leveraging so...

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Detalhes bibliográficos
Autores: Daza, Vanesa, Di Pietro, Roberto, Lombardi, Flavio, Signorini, Matteo
Formato: artículo
Estado:Versión publicada
Fecha de publicación:2017
País:España
Recursos:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
Repositorio:Recercat. Dipósit de la Recerca de Catalunya
OAI Identifier:oai:recercat.cat:10230/45486
Acesso em linha:http://hdl.handle.net/10230/45486
http://dx.doi.org/10.1016/j.procs.2017.08.295
Access Level:acceso abierto
Palavra-chave:Identification
Latency
Cloud
Unpredictability
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spelling CoLLIDE: cloud latency-based identificationDaza, VanesaDi Pietro, RobertoLombardi, FlavioSignorini, MatteoIdentificationLatencyCloudUnpredictabilityAs services steadily migrate to the Cloud, the availability of an overarching identity framework has become a stringent need. Moreover, such an identity framework is now critical in the Internet of Things. To address this problem, identification solutions have been proposed in the past leveraging software or hardware properties of devices. While those solutions proved feasible, their root of trust was based either within the device or in a remote server. In this paper, we overcome the above paradigm and star investigating novel perspectives offered by an overarching identity framework that is not based on client/server properties, but on the network latency of their communications. The core idea behind our approach is to leverage cloud client/server interactions’ latency patterns over the network to derive unique and unpredictable identity factors. Such factors can be used to design and implement effective identification schemes especially suitable for cloud-based services. To the best of our knowledge, our approach is the first one ensuring unclonability and unpredictability properties, relying on neither trusted computing bases (TCBs) nor on classical pseudo-random number generators (PRNGs). The experimental tests presented in this paper, conducted on worst case conditions, show that the network latency (generated between two interacting devices) can produce random values with properties close to the ones generated by most of the well-known PRNGs, that are an ideal fit for providing unique identifiers.Elsevier202020202017info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfapplication/pdfhttp://hdl.handle.net/10230/45486http://dx.doi.org/10.1016/j.procs.2017.08.295reponame:Recercat. Dipósit de la Recerca de Catalunyainstname:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)InglésProcedia Computer Science. 2017 Sep 19;113(2017):81-8© Elsevier http://dx.doi.org/10.1016/j.procs.2017.08.295 Under a Creative Commons license (https://creativecommons.org/licenses/by-nc-nd/4.0/)https://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessoai:recercat.cat:10230/454862026-05-29T05:05:01Z
dc.title.none.fl_str_mv CoLLIDE: cloud latency-based identification
title CoLLIDE: cloud latency-based identification
spellingShingle CoLLIDE: cloud latency-based identification
Daza, Vanesa
Identification
Latency
Cloud
Unpredictability
title_short CoLLIDE: cloud latency-based identification
title_full CoLLIDE: cloud latency-based identification
title_fullStr CoLLIDE: cloud latency-based identification
title_full_unstemmed CoLLIDE: cloud latency-based identification
title_sort CoLLIDE: cloud latency-based identification
dc.creator.none.fl_str_mv Daza, Vanesa
Di Pietro, Roberto
Lombardi, Flavio
Signorini, Matteo
author Daza, Vanesa
author_facet Daza, Vanesa
Di Pietro, Roberto
Lombardi, Flavio
Signorini, Matteo
author_role author
author2 Di Pietro, Roberto
Lombardi, Flavio
Signorini, Matteo
author2_role author
author
author
dc.subject.none.fl_str_mv Identification
Latency
Cloud
Unpredictability
topic Identification
Latency
Cloud
Unpredictability
description As services steadily migrate to the Cloud, the availability of an overarching identity framework has become a stringent need. Moreover, such an identity framework is now critical in the Internet of Things. To address this problem, identification solutions have been proposed in the past leveraging software or hardware properties of devices. While those solutions proved feasible, their root of trust was based either within the device or in a remote server. In this paper, we overcome the above paradigm and star investigating novel perspectives offered by an overarching identity framework that is not based on client/server properties, but on the network latency of their communications. The core idea behind our approach is to leverage cloud client/server interactions’ latency patterns over the network to derive unique and unpredictable identity factors. Such factors can be used to design and implement effective identification schemes especially suitable for cloud-based services. To the best of our knowledge, our approach is the first one ensuring unclonability and unpredictability properties, relying on neither trusted computing bases (TCBs) nor on classical pseudo-random number generators (PRNGs). The experimental tests presented in this paper, conducted on worst case conditions, show that the network latency (generated between two interacting devices) can produce random values with properties close to the ones generated by most of the well-known PRNGs, that are an ideal fit for providing unique identifiers.
publishDate 2017
dc.date.none.fl_str_mv 2017
2020
2020
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/10230/45486
http://dx.doi.org/10.1016/j.procs.2017.08.295
url http://hdl.handle.net/10230/45486
http://dx.doi.org/10.1016/j.procs.2017.08.295
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv Procedia Computer Science. 2017 Sep 19;113(2017):81-8
dc.rights.none.fl_str_mv https://creativecommons.org/licenses/by-nc-nd/4.0/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-nd/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:Recercat. Dipósit de la Recerca de Catalunya
instname:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
instname_str Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
reponame_str Recercat. Dipósit de la Recerca de Catalunya
collection Recercat. Dipósit de la Recerca de Catalunya
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,812429

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