Biometrics recognition technology has revolutionised traditional person
recognition technologies which rely on tokens or passwords. Whereas the
latter can be lost, stolen, or easily forgotten, biometrics technology
relies on biological and/or behavioural traits to infer identity. A
soaring proliferation of cloud applications calls for enhanced security
protection for distributed person authentication using biometrics,
whereas the new European general data protection regulation (GDPR)
demands stringent provisions for privacy preservation. Unfortunately,
concerns regarding security and privacy vulnerabilities, coupled with a
lack of sufficient expertise to tackle them, present barriers to
European competitiveness.
Europe needs a new community of biometrics researchers capable of
innovating the next generation of biometrics technology designed to
protect security and preserve privacy simultaneously. The TReSPAsS-ETN
project will deliver security protection through generalised PAD
capabilities, deliver privacy preservation through computationally
feasible encryption solutions and deploy these new technologies to
commercial-grade systems in full compliance with the new European GDPR
legislation. The project will enhance European research leadership and
competitiveness and will help to sustain the flourishing biometrics
market.
The comprehensive TReSPAsS-ETN Marie Skłodowska-Curie Early Training
Network will couple specific technical and transferable skills training
including entrepreneurship, innovation, creativity, management and
communications with secondments to industry. TReSPAsS-ETN will produce a
cohort of early stage researchers equipped with the necessary
multidisciplinary skill set and capacity to innovate the next generation
of secure and privacy preserving biometrics technologies and thus to
meet the needs of the growing European biometrics industry.