Browsing by Author "Ali, Aysha"
Now showing 1 - 1 of 1
Results Per Page
Sort Options
Item ASSESSMENT OF FEATURES AND CLASSIFIERS FOR BLUETOOTH RF FINGERPRINTING(2022-02-14) Ali, Aysha; Kara, AliIn this thesis, we introduced a novel technique to enhance the security at physical layer of wireless networks. This is based on the use of radio freqency (RF) fingerprinting for Bluetooth (BT) signals. BT signal records are acquired from twenty different cell phone brands, models, and serial numbers. One hundred fifty records are collected from each device. For the first time, Hilbert Huang Transform (HHT) are used for the BT device identification with such huge data set. By means of the signals’ energy envelopes with some improvements, the transient signals are detected accurately. Through the Empirical mode decomposition (EMD) and Hilbert Transform (HT), the HHT is implemented to obtain Time Frequency Energy Distributions (TFED) of the detected transients. Thirteen features are extracted from the signals’ transients and their TFEDs. The extracted features are pre-processed to enhance their usability. Different classifiers are employed with the extracted features for device identification, and comparative analysis of the classifiers is also provided. The classifier performance is examined for different SNR levels from 8 dB to 35+ dB . The identification performance demonstrates the feasibility of the method.