Work

Enhancing Seamless Border Crossings with Behavioural Biometrics

Year: 2025

Type: article

Abstract: Licence: All rights reserved. The white paper explores how behavioural biometrics can strengthen digital border systems by enabling seamless, continuous, and secure identity verification for Digital Travel Credentials (DTCs) within the ODYSSEUS project. It describes the use of machine learning algorithms to analyse user interactions such as keystroke dynamics and device holding patterns providing a passive security layer that detects unauthorized access without interrupting the traveller. The document details the specific use case of passive user verification during mobile check-ins and outlines how the system complies with key EU legal frameworks, including the GDPR and the AI Act, by ensuring transparency, human oversight, and privacy-by-design. Finally, it provides implementation policy suggestions and highlights the impact of recognizing behavioural traits as valid inherence factors under regulations like PSD2, paving the way for standardized, high-risk AI border solutions.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.18101538

Authors: Chondromatidou, Leoni, Palaghias, Niklas

Language: English

Topic: User Authentication and Security Systems

Subfield: Information Systems

Field: Computer Science

Domain: Physical Sciences

SDGs: Industry, innovation and infrastructure, Peace, justice, and strong institutions

Open Access status: green

Funder: European Commission

Award: Unobtrusive Technologies for Secure and Seamless Border Crossing for Travel Facilitation