UAV-assisted attack prevention, detection, and recovery of 5G networks
| 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 communication | en |
| dc.subject.keyword | Jamming | en |
| dc.subject.keyword | Eavesdropping | en |
| dc.subject.keyword | Security | en |
| dc.subject.keyword | Unmanned aerial vehicles | en |
| dc.subject.keyword | Radio frequency | en |
| dc.subject.keyword | Wireless communication | en |
| dc.title | UAV-assisted attack prevention, detection, and recovery of 5G networks | en |
| dc.type | info:eu-repo/semantics/article | |
| dc.type.version | info:eu-repo/semantics/acceptedVersion |
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