On the Performance of Energy Criterion Method in Wi-Fi Transient Signal Detection
In 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 t...
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| Format: | Article |
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MDPI AG
2022-01-01
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| Series: | Electronics |
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| Online Access: | https://www.mdpi.com/2079-9292/11/2/269 |
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| author | Ismail Mohamed Yaser Dalveren Ferhat Ozgur Catak Ali Kara |
| author_facet | Ismail Mohamed Yaser Dalveren Ferhat Ozgur Catak Ali Kara |
| author_sort | Ismail Mohamed |
| collection | DOAJ |
| description | In 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-<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mi>a</mi></semantics></math></inline-formula>) was shown to be superior in a recent study. The study reported the performance of the EC-<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mi>a</mi></semantics></math></inline-formula> 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-<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mi>a</mi></semantics></math></inline-formula> method across a large set of Wi-Fi signals captured from various Wi-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 signal-to-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-<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mi>a</mi></semantics></math></inline-formula> method and well-known methods was comparatively assessed, and the efficiency of the EC-<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mi>a</mi></semantics></math></inline-formula> method was verified in terms of detection accuracy. |
| first_indexed | 2024-03-10T01:34:42Z |
| format | Article |
| id | doaj.art-96a1f7cb9ccc4615ae6fa4c9510b9bd1 |
| institution | Directory Open Access Journal |
| issn | 2079-9292 |
| language | English |
| last_indexed | 2024-03-10T01:34:42Z |
| publishDate | 2022-01-01 |
| publisher | MDPI AG |
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| series | Electronics |
| spelling | doaj.art-96a1f7cb9ccc4615ae6fa4c9510b9bd12023-11-23T13:35:02ZengMDPI AGElectronics2079-92922022-01-0111226910.3390/electronics11020269On the Performance of Energy Criterion Method in Wi-Fi Transient Signal DetectionIsmail Mohamed0Yaser Dalveren1Ferhat Ozgur Catak2Ali Kara3Communication Engineering Department, College of Electronic Technology, Bani Walid, LibyaDepartment of Avionics, Atilim University, Kizilcasar Mahallesi, Incek Golbasi, Ankara 06830, TurkeyElectrical Engineering and Computer Science, University of Stavanger, 4021 Stavanger, NorwayDepartment of Electrical and Electronics Engineering, Gazi University, Eti Mahallesi, Yukselis Sokak, Maltepe, Ankara 06570, TurkeyIn 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-<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mi>a</mi></semantics></math></inline-formula>) was shown to be superior in a recent study. The study reported the performance of the EC-<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mi>a</mi></semantics></math></inline-formula> 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-<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mi>a</mi></semantics></math></inline-formula> method across a large set of Wi-Fi signals captured from various Wi-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 signal-to-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-<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mi>a</mi></semantics></math></inline-formula> method and well-known methods was comparatively assessed, and the efficiency of the EC-<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mi>a</mi></semantics></math></inline-formula> method was verified in terms of detection accuracy.https://www.mdpi.com/2079-9292/11/2/269RF fingerprintingtransient detectionenergy criterionWi-Fi |
| spellingShingle | Ismail Mohamed Yaser Dalveren Ferhat Ozgur Catak Ali Kara On the Performance of Energy Criterion Method in Wi-Fi Transient Signal Detection Electronics RF fingerprinting transient detection energy criterion Wi-Fi |
| title | On the Performance of Energy Criterion Method in Wi-Fi Transient Signal Detection |
| title_full | On the Performance of Energy Criterion Method in Wi-Fi Transient Signal Detection |
| title_fullStr | On the Performance of Energy Criterion Method in Wi-Fi Transient Signal Detection |
| title_full_unstemmed | On the Performance of Energy Criterion Method in Wi-Fi Transient Signal Detection |
| title_short | On the Performance of Energy Criterion Method in Wi-Fi Transient Signal Detection |
| title_sort | on the performance of energy criterion method in wi fi transient signal detection |
| topic | RF fingerprinting transient detection energy criterion Wi-Fi |
| url | https://www.mdpi.com/2079-9292/11/2/269 |
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