Primary user emulation and jamming attack detection in cognitive radio via sparse coding

Basit Öğe Kaydı
dc.authorid0000-0002-7094-8521
dc.authorid0000-0003-3375-0310
dc.authorid0000-0001-9474-7372
dc.contributor.authorFurqan, Haji Muhammad
dc.contributor.authorAygül, Mehmet Ali
dc.contributor.authorNazzal, Mahmoud
dc.contributor.authorArslan, Hüseyin
dc.date.accessioned2020-08-06T06:18:26Z
dc.date.available2020-08-06T06:18:26Z
dc.date.issued2020
dc.departmentİstanbul Medipol Üniversitesi, Mühendislik ve Doğa Bilimleri Fakültesi, Elektrik ve Elektronik Mühendisliği Bölümü
dc.description.abstractCognitive radio is an intelligent and adaptive radio that improves the utilization of the spectrum by its opportunistic sharing. However, it is inherently vulnerable to primary user emulation and jamming attacks that degrade the spectrum utilization. In this paper, an algorithm for the detection of primary user emulation and jamming attacks in cognitive radio is proposed. The proposed algorithm is based on the sparse coding of the compressed received signal over a channel-dependent dictionary. More specifically, the convergence patterns in sparse coding according to such a dictionary are used to distinguish between a spectrum hole, a legitimate primary user, and an emulator or a jammer. The process of decision-making is carried out as a machine learning-based classification operation. Extensive numerical experiments show the effectiveness of the proposed algorithm in detecting the aforementioned attacks with high success rates. This is validated in terms of the confusion matrix quality metric. Besides, the proposed algorithm is shown to be superior to energy detection-based machine learning techniques in terms of receiver operating characteristics curves and the areas under these curves.
dc.identifier.citationFurqan, H. M., Aygül, M. A., Nazzal, M. ve Arslan, H. (2020). Primary user emulation and jamming attack detection in cognitive radio via sparse coding. Eurasip Journal on Wireless Communications and Networking, 2020(1). https://dx.doi.org/10.1186/s13638-020-01736-y
dc.identifier.doi10.1186/s13638-020-01736-y
dc.identifier.issn1687-1472
dc.identifier.issn1687-1499
dc.identifier.issue1
dc.identifier.scopusqualityQ2
dc.identifier.urihttps://dx.doi.org/10.1186/s13638-020-01736-y
dc.identifier.urihttps://hdl.handle.net/20.500.12511/5678
dc.identifier.volume2020
dc.identifier.wosqualityQ3
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherSpringer
dc.relation.ispartofEurasip Journal on Wireless Communications and Networkingen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsAttribution 4.0 International*
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/*
dc.subjectCognitive Radio
dc.subjectJamming Detection
dc.subjectMachine Learning
dc.subjectPhysical Layer Security
dc.subjectPrimary User Emulation Detection
dc.subjectResidual Components
dc.subjectSparse Coding
dc.subjectAuthentication
dc.subjectPhysical Layer Authentication
dc.titlePrimary user emulation and jamming attack detection in cognitive radio via sparse coding
dc.typeArticle

Dosyalar

Orijinal paket
Listeleniyor 1 - 1 / 1
Küçük Resim
İsim:
Arslan, Huseyin-2020.pdf
Boyut:
1.79 MB
Biçim:
Adobe Portable Document Format
Açıklama:
Tam Metin / Full Text
İndir
Lisans paketi
Listeleniyor 1 - 1 / 1
Küçük Resim Yok
İsim:
license.txt
Boyut:
1.44 KB
Biçim:
Item-specific license agreed upon to submission
Açıklama:
İndir

Koleksiyon

Makale Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu
WoS İndeksli Yayınlar Koleksiyonu