dc.contributor.author | Santos, Bernardo | |
dc.contributor.author | Dzogovic, Bruno | |
dc.contributor.author | Feng, Boning | |
dc.contributor.author | Jacot, Niels | |
dc.contributor.author | Do, Thuan Van | |
dc.contributor.author | Do, van Thanh | |
dc.date.accessioned | 2020-05-18T09:42:05Z | |
dc.date.accessioned | 2020-07-02T08:13:24Z | |
dc.date.available | 2020-05-18T09:42:05Z | |
dc.date.available | 2020-07-02T08:13:24Z | |
dc.date.issued | 2020-06-16 | |
dc.identifier.citation | Santos 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. 776-780 | en |
dc.identifier.isbn | 978-1-7281-6136-5 | |
dc.identifier.isbn | 978-1-7281-6135-8 | |
dc.identifier.uri | https://hdl.handle.net/10642/8742 | |
dc.description.abstract | As 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.iso | en | en |
dc.publisher | Institute of Electrical and Electronics Engineers (IEEE) | en |
dc.relation.ispartof | 2020 5th International Conference on Computer and Communication Systems (ICCCS) | |
dc.relation.ispartofseries | International 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/ICCCS49078.2020.9118438 | en |
dc.subject | Machine learning | en |
dc.subject | Anomaly detection | en |
dc.subject | Mobile network security | en |
dc.subject | Internet of Things-security | en |
dc.subject | Cross layer security | en |
dc.title | Improving Cellular IoT Security with Identity Federation and Anomaly Detection | en |
dc.type | Conference object | en |
dc.date.updated | 2020-05-18T09:42:05Z | |
dc.description.version | acceptedVersion | en |
dc.identifier.doi | http://dx.doi.org/10.1109/ICCCS49078.2020.9118438 | |
dc.identifier.cristin | 1811452 | |
dc.source.isbn | 9781728161358 | |