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  • Communications Faculty of Sciences University Ankara Series A2-A3 Physical and Engineering
  • Volume:57 Issue:1
  • WIRELESS DEVICE IDENTIFICATION USING DESCRIPTIVE STATISTICS

WIRELESS DEVICE IDENTIFICATION USING DESCRIPTIVE STATISTICS

Authors : Memduh KÖSE, Selçuk TAŞCIOĞLU, Ziya TELATAR
Pages : 1-10
Doi:10.1501/commua1-2_0000000083
View : 21 | Download : 9
Publication Date : 2015-05-01
Article Type : Research Paper
Abstract :Physical layer identification systems classify the wireless devices by exploiting some distinctive device characteristics which can be measured from transmissions. In this paper, characteristic features based on descriptive statistics are extracted from the transient part of the received WiFi signals for classification purpose. Classification performance of the features is evaluated through experimental data. Feature sets consisting of combinations of descriptive statistics are tested in order to evaluate the distinctiveness of statistics which measures the central tendency and dispersion of data. Classification results for independent trials are presented in terms of mean and standard deviation of classification accuracy as well as confusion matrix
Keywords : Wireless device identification, transient signal, descriptive statistics, classification performance evaluation

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