Abstract
AbstractAudio based authentication has been proposed to be used as a second or third factor of authentication in Multi-Factor Authentication (MFA). Previous audio fingerprinting work has mostly used tonal frequencies which are not ideal in authentication as humans do not like sharp tonal frequencies as audio. This work investigates the usage of music as the audio for authentication instead of tonal frequencies. We also compare music with Dual Tone Multi Frequency (DTMF) audio. We present the results of our experimentation over source audio, feature extraction and performance under noise in this paper. The results of our experiments show that music in fact offers advantages such as better accuracy and better performance under noise in addition to sounding pleasant.KeywordsAuthenticationFingerprintingAudioMusicMobile devices
Published Version
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