Deep learning-assisted detection of PUE and jamming attacks in cognitive radio systems

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dc.authorid0000-0002-1797-8238
dc.authorid0000-0003-3375-0310
dc.authorid0000-0001-9474-7372
dc.contributor.authorAygül, Mehmet Ali
dc.contributor.authorFurqan, Haji Muhammad
dc.contributor.authorNazzal, Mahmoud
dc.contributor.authorArslan, Hüseyin
dc.date.accessioned2021-03-05T07:12:30Z
dc.date.available2021-03-05T07:12:30Z
dc.date.issued2020
dc.departmentİstanbul Medipol Üniversitesi, Mühendislik ve Doğa Bilimleri Fakültesi, Elektrik ve Elektronik Mühendisliği Bölümü
dc.description.abstractCognitive radio (CR)-based internet of things systems can be considered as an efficient solution for futuristic smart technologies. However, CRs are naturally vulnerable to two major security threats; primary user emulation (PUE) and jamming attacks. Machine learning has been recently applied to the detection of these attacks. Still, the need for feature extraction required by machine learning techniques restrains the full exploitation of raw data. To alleviate this need, this paper proposes one-dimensional deep learning as a framework for identifying such attacks. Simulations show the ability of the proposed algorithm to detect these attacks with high performance.
dc.identifier.citationAygül, M. A., Furqan, H. M., Nazzal, M. ve Arslan, H. (2020). Deep learning-assisted detection of PUE and jamming attacks in cognitive radio systems. 92nd IEEE Vehicular Technology Conference (IEEE VTC-Fall). Virtual, Victoria, Canada, 18-16 November 2020. https://dx.doi.org/10.1109/VTC2020-Fall49728.2020.9348579
dc.identifier.doi10.1109/VTC2020-Fall49728.2020.9348579
dc.identifier.isbn9781728194844
dc.identifier.issn1550-2252
dc.identifier.scopusqualityN/A
dc.identifier.urihttps://dx.doi.org/10.1109/VTC2020-Fall49728.2020.9348579
dc.identifier.urihttps://hdl.handle.net/20.500.12511/6603
dc.identifier.volume2020
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherInstitute of Electrical and Electronics Engineers Inc.
dc.relation.ispartof92nd IEEE Vehicular Technology Conference (IEEE VTC-Fall)en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanı
dc.relation.tubitakinfo:eu-repo/grantAgreement/TUBITAK/SOBAG/119E433
dc.rightsinfo:eu-repo/semantics/embargoedAccess
dc.subjectCognitive Radio
dc.subjectDeep Learning
dc.subjectEmulation Detection
dc.subjectJamming Detection
dc.subjectPhysical Layer Security
dc.subjectPrimary User
dc.titleDeep learning-assisted detection of PUE and jamming attacks in cognitive radio systems
dc.typeConference Object

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