Using TensorFlow / machine learning for automated RF side-channel attack classification

The idea was born to use TensorFlow/machine learning to automatically analyze these signals and using it to retrieve the PIN entered into the device - out of thin air! The setup for finding and recording such a signal can range from very simple up to very complex, for this case everything was done using Software Defined Radios. A cheap RTL-SDR receiver is available for roughly $30, though a more sophisticated device such as a HackRF or a bladeRF offer significantly higher sample rates (and a higher ADC resolution). Even with this cheap setup, the signal could be picked up from more than 2 meters (6.5 feet) away - using a directional antenna (and maybe using emissions on a different frequency band) this range can be easily increased. It was also found that connecting the USB cable to the device increases the measured strength of the emissions significantly.