UAV-assisted attack prevention, detection, and recovery of 5G networks

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• dc.contributor.author Sabri Abdalla, Aly
• dc.contributor.author Powell, Keith
• dc.contributor.author Geraci, Giovanni
• dc.contributor.author Marojevic, Vuk
• dc.date.accessioned 2020-10-08T08:06:26Z
• dc.date.available 2020-10-08T08:06:26Z
• dc.date.issued 2018
• dc.description.abstract Unmanned aerial vehicles (UAVs) are emerging as enablers for supporting many applications and services, such as precision agriculture, search and rescue, temporary network deployment or coverage extension, and security. UAVs are being considered for integration into emerging 5G networks as aerial users or network support nodes. We propose to leverage UAVs in 5G to assist in the prevention, detection, and recovery of attacks on 5G networks. Specifically, we consider jamming, spoofing, eavesdropping, and the corresponding mitigation mechanisms that are enabled by the versatility of UAVs. We introduce the hot zone, safe zone, and UAV-based secondary authorization entity, among others, to increase the resilience and confidentiality of 5G radio access networks and services. We present simulation results and discuss open issues and research directions, including the need for experimental evaluation and a research platform for prototyping and testing the proposed technologies.en
• dc.description.sponsorship A. S. Abdalla, K. Powell, and V. Marojevic are supported in part by the by NSF Platforms for Advanced Wireless Research (PAWR) program, under grant number CNS-1939334. The work of G. Geraci was supported by MINECO under Project RTI2018-101040-A-I00 and by the Postdoctoral Junior Leader Fellowship Programme from “la Caixa” Banking Foundation.
• dc.format.mimetype application/pdf
• dc.identifier.citation Sabri Abdalla A, Powell K, Marojevic V, Geraci G. UAV-assisted attack prevention, detection, and recovery of 5G networks. IEEE Wirel Commun. 2018 Aug 18;27(4):40-7. DOI: 10.1109/MWC.01.1900545
• dc.identifier.doi http://dx.doi.org/10.1109/MWC.01.1900545
• dc.identifier.issn 1536-1284
• dc.identifier.uri http://hdl.handle.net/10230/45431
• dc.language.iso eng
• dc.publisher Institute of Electrical and Electronics Engineers (IEEE)
• dc.relation.ispartof IEEE Wireless Communications. 2018 Aug 18;27(4):40-7
• dc.relation.projectID info:eu-repo/grantAgreement/ES/2PE/RTI2018-101040-A-I00
• dc.rights © 2018 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. http://dx.doi.org/10.1109/MWC.01.1900545
• dc.rights.accessRights info:eu-repo/semantics/openAccess
• dc.subject.keyword 5G mobile communicationen
• dc.subject.keyword Jammingen
• dc.subject.keyword Eavesdroppingen
• dc.subject.keyword Securityen
• dc.subject.keyword Unmanned aerial vehiclesen
• dc.subject.keyword Radio frequencyen
• dc.subject.keyword Wireless communicationen
• dc.title UAV-assisted attack prevention, detection, and recovery of 5G networksen
• dc.type info:eu-repo/semantics/article
• dc.type.version info:eu-repo/semantics/acceptedVersion