Secure border control

Initial situation

In risk-based border management the greatest challenge is the estimation of the risk for each individual traveler. The success and applicability of any risk-management process greatly depends on the accuracy of these estimates. In TRESSPASS we propose an analytic framework for modelling risk and a systematic approach of quantifying risk based on a set of indicators that can accurately be measured across all 4 tiers with the technologies and processes that the partners in this proposal bring to the project. Once these indicators are accurately estimated from available data collected from background information, sensors and applications, the 4-tier risk management approach we introduce in TRESSPASS, operating within a rigid privacy and ethics framework, reliably calculates the risk for each traveler. Based on this risk, the system then adjusts the number and types of security checks required for each traveler, congruent with the associated risk, in order to maintain a desired security level while optimizing the security system performance in terms of efficiency, traveler satisfaction and operational cost reduction. Flexibility is built in the system design through dynamic risk assessment to accommodate unforeseen risks resulting from emergency contingencies, such as the case of the laptop ban in the spring of 2017. Special attention is paid in maintaining a level of mutual trust between the security process and the traveler throughout the entire screening process. Extensive simulations will be used to first test the proposed approach before implementing and validating it in three different pilots covering all three modalities: land, sea and air.


Aims of the project


  • develop a single cohesive risk-based border management concept
  • develop three pivoting pilot demonstrators
  • demonstrate the validity of the single cohesive risk-based border management concept by using red teaming and simulations
  • prepare for the further development of this concept beyond this project by linking to other known risk-based border management projects (in- and outside EU, within EU research frameworks and on national levels), and describe how their results contribute to a single cohesive risk-based border management concept


TRESSPASS combines all the required scientific & technological competences through its partners

  • National Center for Scientific Research “Demokritos” (NCSRD) (Koordinator)
  • Netherlands Organisation for Applied Scientific Research (TNO)
  • Wojskowa Akademia Techniczna (WAT)
  • Space Hellas SA (SPH)
  • Software Competence Center Hagenberg GmbH (SCCH)
  • Rina Consulting S.p.A. (RINA-C)
  • Fraunhofer EMI (FHG)
  • European Dynamics Belgium SA (ED)
  • National University of Ireland Maynooth (NUIM)
  • Infili
  • Zanasi & Partners (Z&P)
  • ICTS Europe
  • Albert-Ludwigs-Universität Freiburg i. Br. (ALU-FR)
  • APSS Software & Services Ltd. (CASRA)
  • Vicarious Perception Technologies BV (VV)
  • Independent Authority for Public Revenue (IAPR)
  • Center for Security Studies / Hellenic Police (KEMEA)
  • Piraeus Port Authority (PPA)
  • Ministry of Maritime Affairs and Insular Policy/Hellenic Coast Guard (HCG)
  • Royal Netherlands Marechaussee, Dutch border guard (RNM)
  • Border Guard of the Republic of Poland (PBG)
  • Royal Schiphol Group (AAS)


This project is funded by HORIZON 2020 (SEC-15-BES-2017).

Project website

Find more information on the website


Lukas Fischer

Fischer Lukas

Research Manager Data Science
Phone: +43 50 343 828