A Survey on the Use of Deep Learning Techniques for UAV Jamming and Deception

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dc.contributor.authorŠimon, Ondřejcs
dc.contributor.authorGötthans, Tomášcs
dc.coverage.issue19cs
dc.coverage.volume11cs
dc.date.issued2022-09-23cs
dc.description.abstractUnmanned aerial vehicles (UAVs) can be used for a variety of illegal activities (e.g., industrial espionage, smuggling, terrorism). Given their growing popularity and availability, and advances in communications technology, more sophisticated ways to disable these vehicles must be sought. Various forms of jamming are used to disable drones, but more advanced techniques such as deception and UAV takeover are considerably difficult to implement, and there is a large research gap in this area., Currently, machine and deep learning techniques are popular and are also used in various drone-related applications. HOwever, no detailed research has been conducted so far on the use of these techniques for jamming and deception of UAVs. This paper focuses on exploring the current techniques in the are of jamming and deception. A survey on the use of machine or deep learning specifically in UAV-related applicsations is also conducted. The paper provides insight into the issues described and encourages more detailed research in this area.en
dc.formattextcs
dc.format.extent1-32cs
dc.format.mimetypeapplication/pdfcs
dc.identifier.citationElectronics (MDPI). 2022, vol. 11, issue 19, p. 1-32.en
dc.identifier.doi10.3390/electronics11193025cs
dc.identifier.issn2079-9292cs
dc.identifier.orcid0000-0002-6837-5461cs
dc.identifier.orcid0000-0002-0386-1813cs
dc.identifier.other179296cs
dc.identifier.researcheridAFV-2087-2022cs
dc.identifier.scopus57251537900cs
dc.identifier.scopus41761598800cs
dc.identifier.urihttp://hdl.handle.net/11012/208687
dc.language.isoencs
dc.publisherMDPIcs
dc.relation.ispartofElectronics (MDPI)cs
dc.relation.urihttps://www.mdpi.com/2079-9292/11/19/3025cs
dc.rightsCreative Commons Attribution 4.0 Internationalcs
dc.rights.accessopenAccesscs
dc.rights.sherpahttp://www.sherpa.ac.uk/romeo/issn/2079-9292/cs
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/cs
dc.subjectUAVen
dc.subjectjammingen
dc.subjectmachine learningen
dc.subjectdeep learningen
dc.titleA Survey on the Use of Deep Learning Techniques for UAV Jamming and Deceptionen
dc.type.driverarticleen
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen
sync.item.dbidVAV-179296en
sync.item.dbtypeVAVen
sync.item.insts2025.02.03 15:41:45en
sync.item.modts2025.01.17 15:13:28en
thesis.grantorVysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií. Ústav radioelektronikycs
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