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dc.contributor.authorGambín, Ángel Fernández
dc.contributor.authorYazidi, Anis
dc.contributor.authorVasilakos, Athanasios
dc.contributor.authorHaugerud, Hårek
dc.contributor.authorDjenouri, Youcef
dc.date.accessioned2024-08-12T13:26:37Z
dc.date.available2024-08-12T13:26:37Z
dc.date.created2024-03-04T12:52:57Z
dc.date.issued2024
dc.identifier.citationGambín, Á. F., Yazidi, A., Vasilakos, A., Haugerud, H., & Djenouri, Y. (2024). Deepfakes: current and future trends. Artificial Intelligence Review, 57(3), Artikkel 64.en_US
dc.identifier.issn0269-2821
dc.identifier.urihttps://hdl.handle.net/11250/3145856
dc.description.abstractAdvances in Deep Learning (DL), Big Data and image processing have facilitated online disinformation spreading through Deepfakes. This entails severe threats including public opinion manipulation, geopolitical tensions, chaos in financial markets, scams, defamation and identity theft among others. Therefore, it is imperative to develop techniques to prevent, detect, and stop the spreading of deepfake content. Along these lines, the goal of this paper is to present a big picture perspective of the deepfake paradigm, by reviewing current and future trends. First, a compact summary of DL techniques used for deepfakes is presented. Then, a review of the fight between generation and detection techniques is elaborated. Moreover, we delve into the potential that new technologies, such as distributed ledgers and blockchain, can offer with regard to cybersecurity and the fight against digital deception. Two scenarios of application, including online social networks engineering attacks and Internet of Things, are reviewed where main insights and open challenges are tackled. Finally, future trends and research lines are discussed, pointing out potential key agents and technologies.en_US
dc.language.isoengen_US
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titleDeepfakes: current and future trendsen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionpublishedVersionen_US
dc.rights.holder© The Author(s) 2024.en_US
dc.source.volume57en_US
dc.source.journalArtificial Intelligence Reviewen_US
dc.source.issue3en_US
dc.identifier.doihttps://doi.org/10.1007/s10462-023-10679-x
dc.identifier.cristin2251797
dc.source.articlenumber64en_US
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


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Navngivelse 4.0 Internasjonal
Except where otherwise noted, this item's license is described as Navngivelse 4.0 Internasjonal