On the Performance of Energy Criterion Method in Wi-Fi Transient Signal Detection

dc.authoridMohamed, Ismail Salem Khalifa/0000-0002-9010-7551
dc.authoridCatak, Ferhat Ozgur/0000-0002-2434-9966
dc.authoridKara, Ali/0000-0002-9739-7619
dc.authoridDalveren, Yaser/0000-0002-9459-0042
dc.authorscopusid57217994953
dc.authorscopusid51763497600
dc.authorscopusid55625667200
dc.authorscopusid7102824862
dc.authorwosidMohamed, Ismail Salem Khalifa/GLQ-5719-2022
dc.authorwosidCatak, Ferhat Ozgur/M-6013-2015
dc.contributor.authorMohamed, Ismail
dc.contributor.authorDalveren, Yaser
dc.contributor.authorCatak, Ferhat Ozgur
dc.contributor.authorKara, Ali
dc.contributor.otherDepartment of Electrical & Electronics Engineering
dc.date.accessioned2024-07-05T15:16:24Z
dc.date.available2024-07-05T15:16:24Z
dc.date.issued2022
dc.departmentAtılım Universityen_US
dc.department-temp[Mohamed, Ismail] Coll Elect Technol, Commun Engn Dept, Bani Walid, Libya; [Dalveren, Yaser] Atilim Univ, Dept Avion, TR-06830 Ankara, Turkey; [Catak, Ferhat Ozgur] Univ Stavanger, Elect Engn & Comp Sci, N-4021 Stavanger, Norway; [Kara, Ali] Gazi Univ, Dept Elect & Elect Engn, TR-06570 Ankara, Turkeyen_US
dc.descriptionMohamed, Ismail Salem Khalifa/0000-0002-9010-7551; Catak, Ferhat Ozgur/0000-0002-2434-9966; Kara, Ali/0000-0002-9739-7619; Dalveren, Yaser/0000-0002-9459-0042en_US
dc.description.abstractIn the development of radiofrequency fingerprinting (RFF), one of the major challenges is to extract subtle and robust features from transmitted signals of wireless devices to be used in accurate identification of possible threats to the wireless network. To overcome this challenge, the use of the transient region of the transmitted signals could be one of the best options. For an efficient transient-based RFF, it is also necessary to accurately and precisely estimate the transient region of the signal. Here, the most important difficulty can be attributed to the detection of the transient starting point. Thus, several methods have been developed to detect transient start in the literature. Among them, the energy criterion method based on the instantaneous amplitude characteristics (EC-a) was shown to be superior in a recent study. The study reported the performance of the EC- a method for a set of Wi-Fi signals captured from a particular Wi-Fi device brand. However, since the transient pattern varies according to the type of wireless device, the device diversity needs to be increased to achieve more reliable results. Therefore, this study is aimed at assessing the efficiency of the EC-a method across a large set ofWi-Fi signals captured from variousWi-Fi devices for the first time. To this end, Wi-Fi signals are first captured from smartphones of five brands, for a wide range of signalto-noise ratio (SNR) values defined as low (3 to 5 dB), medium (5 to 15 dB), and high (15 to 30 dB). Then, the performance of the EC-a method and well-known methods was comparatively assessed, and the efficiency of the EC-a method was verified in terms of detection accuracy.en_US
dc.identifier.citationcount4
dc.identifier.doi10.3390/electronics11020269
dc.identifier.issn2079-9292
dc.identifier.issue2en_US
dc.identifier.scopus2-s2.0-85122788948
dc.identifier.urihttps://doi.org/10.3390/electronics11020269
dc.identifier.urihttps://hdl.handle.net/20.500.14411/1636
dc.identifier.volume11en_US
dc.identifier.wosWOS:000837966400001
dc.identifier.wosqualityQ2
dc.institutionauthorDalveren, Yaser
dc.institutionauthorKara, Ali
dc.language.isoenen_US
dc.publisherMdpien_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.scopus.citedbyCount9
dc.subjectRF fingerprintingen_US
dc.subjecttransient detectionen_US
dc.subjectenergy criterionen_US
dc.subjectWi-Fien_US
dc.titleOn the Performance of Energy Criterion Method in Wi-Fi Transient Signal Detectionen_US
dc.typeArticleen_US
dc.wos.citedbyCount6
dspace.entity.typePublication
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