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dc.contributor.authorSantos, Bernardo
dc.contributor.authorDzogovic, Bruno
dc.contributor.authorFeng, Boning
dc.contributor.authorJacot, Niels
dc.contributor.authorDo, Thuan Van
dc.contributor.authorDo, van Thanh
dc.date.accessioned2020-05-18T09:42:05Z
dc.date.accessioned2020-07-02T08:13:24Z
dc.date.available2020-05-18T09:42:05Z
dc.date.available2020-07-02T08:13:24Z
dc.date.issued2020-06-16
dc.identifier.citationSantos B, Dzogovic BD, Feng B, Jacot N, Do TV, Do VTDO: Improving Cellular IoT Security with Identity Federation and Anomaly Detection. In: INIVE CAI. 2020 5th International Conference onComputer and Communication Systems, 2020. IEEE conference proceedings p. 776-780en
dc.identifier.isbn978-1-7281-6136-5
dc.identifier.isbn978-1-7281-6135-8
dc.identifier.urihttps://hdl.handle.net/10642/8742
dc.description.abstractAs we notice the increasing adoption of Cellular IoT solutions (smart-home, e-health, among others), there are still some security aspects that can be improved as these devices can suffer various types of attacks that can have a high-impact over our daily lives. In order to avoid this, we present a multi-front security solution that consists on a federated cross-layered authentication mechanism, as well as a machine learning platform with anomaly detection techniques for data traffic analysis as a way to study devices’ behavior so it can preemptively detect attacks and minimize their impact. In this paper, we also present a proof-of-concept to illustrate the proposed solution and showcase its feasibility, as well as the discussion of future iterations that will occur for this work.en
dc.language.isoenen
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en
dc.relation.ispartof2020 5th International Conference on Computer and Communication Systems (ICCCS)
dc.relation.ispartofseriesInternational Conference on Computers, Communications, and Systems (ICCCS);2020 5th International Conference on Computer and Communication Systems (ICCCS)
dc.rights© 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. DOI: http://dx.doi.org/10.1109/ICCCS49078.2020.9118438en
dc.subjectMachine learningen
dc.subjectAnomaly detectionen
dc.subjectMobile network securityen
dc.subjectInternet of Things-securityen
dc.subjectCross layer securityen
dc.titleImproving Cellular IoT Security with Identity Federation and Anomaly Detectionen
dc.typeConference objecten
dc.date.updated2020-05-18T09:42:05Z
dc.description.versionacceptedVersionen
dc.identifier.doihttp://dx.doi.org/10.1109/ICCCS49078.2020.9118438
dc.identifier.cristin1811452
dc.source.isbn9781728161358


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