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Listen to the Music: Evaluating the Use of Music in Audio Based Authentication

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Ubiquitous Security (UbiSec 2022)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1768))

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Abstract

Audio 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.

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Acknowledgments

This work was supported in part by Sir William Gallagher Cyber Security Scholarship at the University of Waikato.

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Authors and Affiliations

  1. School of Computing and Mathematical Sciences, University of Waikato, Hamilton, 3200, New Zealand

    Michael Tsai & Vimal Kumar

Authors
  1. Michael Tsai
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  2. Vimal Kumar
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Corresponding author

Correspondence to Vimal Kumar .

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Editors and Affiliations

  1. Guangzhou University, Guangzhou, China

    Guojun Wang

  2. University of Texas at San Antonio, San Antonio, TX, USA

    Kim-Kwang Raymond Choo

  3. Temple University, Philadelphia, PA, USA

    Jie Wu

  4. Khalifa University of Science and Technology, Abu Dhabi, United Arab Emirates

    Ernesto Damiani

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Tsai, M., Kumar, V. (2023). Listen to the Music: Evaluating the Use of Music in Audio Based Authentication. In: Wang, G., Choo, KK.R., Wu, J., Damiani, E. (eds) Ubiquitous Security. UbiSec 2022. Communications in Computer and Information Science, vol 1768. Springer, Singapore. https://doi.org/10.1007/978-981-99-0272-9_2

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  • DOI: https://doi.org/10.1007/978-981-99-0272-9_2

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-99-0271-2

  • Online ISBN: 978-981-99-0272-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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