Microphone Identification Using Convolutional Neural Networks
The ability to identify mobile phones through their built-in components has been demonstrated in the literature for
various types of sensors including charge coupled devices (CCD)/complementary metal–oxide semiconductors (CMOS),
accelerometers, magnetometers, and microphones. The identification is performed by exploiting small but significant
differences in the electronic circuits generated during the manufacturing process. Thus, these distinctive traces become