Environment-adaptive adjustment of audio-based security on mobile phones

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Details

Supervisor: Stephan Sigg
Duration: 3-6 months
Type: Bachelor/Master Thesis or Student Project
Status: open


Project Description

We have demonstrated a secure pairing mechanism based on fingerprints from ambient audio [1].

In case studies, it was observed, that the parameters of the approach need to be adapted in order to provide a good tradeoff between security and usability in environments with varying characteristics such as background noise figure. In this project, the students will derive a mechanism to automatically adapt the parameters of the audio-based ad-hoc secure pairing mechanism.

Required Skills

  • Natural curiosity, high motivation and a good sense of creativity :)