AI-based privacy-preserving biometric authentication with mass-market smart devices
  Increasingly our identity is key to our online security, and where online services must integrate with these, in order to provide increased levels of trust. But there are now many constraints in how biometric and behavioural data can be used within these services. This research aims to understand how best to identify users using behavioural and biometric methods, while still preserving the rights to privacy. It will use the latest cryptography, zero-knowledge proof, differential privacy and privacy-preserving machine learning in order to build models of authentication which match to the required security levels for trustworthiness, whilst maintaining privacy. Data science will be key to this work as it can apply probabilistic and machine learning methods, along with the addition of the latest cryptography which supports privacy-preserving methods.

  • Start Date:

    1 October 2021

  • End Date:

    30 September 2024

  • Activity Type:

    Externally Funded Research

  • Funder:


  • Value:


Project Team