Authentication by Mapping Keystrokes to Music: The Melody of Typing

Amith K. Belman, Tirthankar Paul, Li Wang, S. S. Iyengar, Pawel Śniatała, Zhanpeng Jin, Vir V. Phoha, Seppo Vainio, Juha Roning

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Expressing Keystroke Dynamics (KD) in form of sound opens new avenues to apply sound analysis techniques on KD. However this mapping is not straight-forward as varied feature space, differences in magnitudes of features and human interpretability of the music bring in complexities. We present a musical interface to KD by mapping keystroke features to music features. Music elements like melody, harmony, rhythm, pitch and tempo are varied with respect to the magnitude of their corresponding keystroke features. A pitch embedding technique makes the music discernible among users. Using the data from 30 users, who typed fixed strings multiple times on a desktop, shows that these auditory signals are distinguishable between users by both standard classifiers (SVM, Random Forests and Naive Bayes) and humans alike.

Original languageEnglish (US)
Title of host publication2020 International Conference on Artificial Intelligence and Signal Processing, AISP 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728144580
DOIs
StatePublished - Jan 2020
Event2020 International Conference on Artificial Intelligence and Signal Processing, AISP 2020 - Amaravati, India
Duration: Jan 10 2020Jan 12 2020

Publication series

Name2020 International Conference on Artificial Intelligence and Signal Processing, AISP 2020

Conference

Conference2020 International Conference on Artificial Intelligence and Signal Processing, AISP 2020
CountryIndia
CityAmaravati
Period1/10/201/12/20

Keywords

  • Authentication
  • Keystroke
  • Mapping
  • Music

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Science Applications
  • Computer Vision and Pattern Recognition
  • Signal Processing
  • Decision Sciences (miscellaneous)
  • Health Informatics

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