Section: Partnerships and Cooperations

European Initiatives

Collaborations in European Programs, Except FP7 & H2020

  • Program: CHIST ERA

    • Project acronym: ID_IOT

    • Project title: Identification for the Internet of things

    • Duration: 3 years, started in Oct 2016.

    • Coordinator: Boris Skoric (Eindhoven Univ. of Technology (NL))

    • Other partners: Inria-RBA (Teddy Furon, Marzieh Gheisari), Univ. of Geneva (CH)

    • Abstract: The IoT will contain a huge number of devices and objects that have very low or nonexistent processing and communication resources, coupled to a small number of high-power devices. The weakest devices, which are most ubiquitous, will not be able to authenticate themselves using cryptographic methods. This project addresses these issues using physical unclonable functions (PUFs). PUFs, and especially quantum readout PUFs, are ideally suited to the IoT setting because they allow for the authentication and identification of physical objects without requiring any crypto or storage of secret information.

      Furthermore, we foresee that back-end systems will not be able to provide security and privacy via cryptographic primitives due to the sheer number of IoT devices. Our plan is to address these problems using privacy preserving database structures and algorithms with good scaling behaviour. Approximate nearest neighbour (ANN) search algorithms, which have remarkably good scaling behaviour, have recently become highly efficient, but do not yet have the right security properties and have not yet been applied to PUF data. Summarised in a nutshell, the project aims to improve the theory and practice of technologies such as PUFs and ANN search in the context of generic IoT authentication and identification scenarios.

  • Program: Joint Programming Initiative Cultural Heritage

    • Project acronym: READ-IT

    • Project title: Reading Europe: Advanced Data Investigation Tools

    • Duration: June 2018 - May 2021

    • Coordinator: Le Mans Université, Institute of Human and Social Sciences-Digital Humanities (FR)

    • Other partners: CNRS, Institut de Recherche in Informatique et Systèmes Aléatoires (FR); The Open University (UK); Utrecht University, Digital Humanities Lab (NL); Czech Litterature Institute (CZ)

    • Abstract: READ-IT will build a unique large-scale, user-friendly, open access, semantically-enriched investigation tool to identify and share groundbreaking evidence about 18th-21st century Cultural Heritage of reading in Europe. The interdisciplinary collaboration between digital humanists, human & social sciences scholars and computer researchers will investigate innovative ways of gathering new resources through crowdsourcing and web-crawling as well as linking and reusing preexisting datasets.