H2020Doctoral network2020–2023

TReSPAsS-ETN · TRaining in Secure and PrivAcy-preserving biometricS

Horizon 2020 — Marie Skłodowska-Curie Actions

Duration
2020-01-01 → 2023-12-31
EU contribution
€3,725,977
Participants
8
Scheme
MSCA-ITN

Lines connect the coordinator with its partners.

Results in brief

TRaining in Secure and PrivAcy-preserving biometricS

Biometric recognition technology has significantly transformed the landscape of individual identification by moving beyond conventional methods such as tokens or passwords, which can be lost, stolen, or forgotten. This innovative technology relies on unique physiological and behavioural traits for identification purposes. However, despite the advantages offered by biometric recognition, the technology faces critical challenges that hinder Europe's ability to compete effectively in this domain. Key among these challenges are vulnerabilities related to security and privacy, which pose significant risks to users and systems alike. Additionally, the General Data Protection Regulation (GDPR) within the European Union mandates rigorous privacy protections, setting a high standard for personal data handling. The urgent need for enhanced security measures for biometric recognition technology, especially in the context of widespread cloud application usage, alongside the stringent privacy requirements set by the GDPR, underscores the necessity for immediate and concerted efforts to address these challenges. Without overcoming the barriers posed by security and privacy vulnerabilities, and by bridging the gap in expertise, Europe risks falling behind in the increasingly critical field of biometric recognition technology. Operating as a Marie Skłodowska Curie Early Training Network, the TReSPAsS-ETN project aims to enhance privacy and security in biometric technology. The main problem it addresses is the vulnerability of biometric systems to security and privacy breaches, which is important for society as it affects the trust and effectiveness of these technologies. The project seeks to develop innovative solutions that protect against these vulnerabilities without compromising system performance. It emphasises interdisciplinary training and research to advance the state of the art in secure and privacy-preserving biometrics, striving for a balance between security and privacy that complies with GDPR regulations. The overall objective is to foster a new generation of early-stage researchers equipped to lead advancements in biometric technologies, ensuring they are both secure and respectful of privacy and legal standards. The TReSPAsS-ETN project, initiated in January 2020, has successfully concluded. Throughout its duration, it has made significant contributions to enhancing the security and privacy of biometric systems, advancing the academic and professional development of its participants, and addressing critical challenges in biometric security and privacy. Through its comprehensive approach to research, training, and dissemination, the project has set a strong foundation for future advancements in the field.

Data: CORDIS, © European Union

Project objective

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.

Original text from CORDIS.

Participants

  • EURECOM GIE · BiotCoordinatorFrance
  • CHALMERS TEKNISKA HOGSKOLA AB · GoteborgSweden
  • FONDATION DE L'INSTITUT DE RECHERCHE IDIAP · MartignySwitzerland
  • HOCHSCHULE DARMSTADT (UNIVERSITY OF APPLIED SCIENCES H-DA) · DarmstadtGermany
  • KATHOLIEKE UNIVERSITEIT LEUVEN · LeuvenBelgium
  • RIJKSUNIVERSITEIT GRONINGEN · GroningenNetherlands
  • UNIVERSIDAD AUTONOMA DE MADRID · MadridSpain
  • UNIVERSITAET ST. GALLEN · St GallenSwitzerland

Links

Data: CORDIS, © European Union