Swiss Ai Research Overview Platform
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.