  We propose MusicID, an authentication solution for smart devices that uses
music-induced brainwave patterns as a behavioral biometric modality. We
experimentally evaluate MusicID using data collected from real users whilst
they are listening to two forms of music; a popular English song and
individual's favorite song. We show that an accuracy over 98% for user
identification and an accuracy over 97% for user verification can be achieved
by using data collected from a 4-electrode commodity brainwave headset. We
further show that a single electrode is able to provide an accuracy of
approximately 85% and the use of two electrodes provides an accuracy of
approximately 95%. As already shown by commodity brain-sensing headsets for
meditation applications, we believe including dry EEG electrodes in
smart-headsets is feasible and MusicID has the potential of providing an entry
point and continuous authentication framework for upcoming surge of
smart-devices mainly driven by Augmented Reality (AR)/Virtual Reality (VR)
applications.
