OnMoveID will leverage increasing sensory, computational and communicational technological capabilities of standard non-trusted smartphones for advanced privacy-preserving, legal and ethical compliant management of travel documents for fast on-the-move identification of travellers for all types of border crossings: land, sea, and air. High efficiency and security are achieved in three phases: (1) Registration of border crossing (duration ca. 10 min only once, then e.g. annually), within trusted extended 3rd generation EUID wallet. Also, self-scanned identity documents will be stored, verified and used to assess biometric standstill face images and fingerprints using smartphone cameras. (2) Back-up registration (duration ca. 5 min) at registration desk at border with advanced document scanning and digital identity generation using AI. (3.1) Walk-through along lanes (duration ca. 20 sec) of travellers is used to identify and track in consent smartphone positions using ultrasound, to conduct body count from heart beat detection and localization, to generate external best face images from multiple fixed (multi)spectral cameras, while using smartphone sensors to take walk-through face and fingerprint images. (3.2) Drive-through passenger vehicles (ca. 10 sec) uses multispectral cameras. (3.3) Bus inspection (duration ca. 2 min) uses in addition smartphone camera of border officers for taking in-consent images of passengers within the bus. OnMoveID will use rule- and risk-based decision making to accept (back-up) registration as well as final border crossing acceptance or rejection. It extends S-o-t-A of all existing legacy and emerging border management systems and data bases (e.g. EES, VIS, ETIAS) at EU level while improving travellers’ throughput, based on communication and cloud computing within extended EUID/digital wallet framework. OnMoveID is functionally and performance tested and iteratively improved at borders in (i) Finland, (ii) Slovakia, and (iii) UK.

Identity theft is rapidly expanding, causing substantial financial loss to millions of people all around the world. This invisible crime is also widespread across EU countries, where a growing number of citizens is targeted by sophisticated fraudulent attacks each year, both offline and online. 56% of Europeans have experienced at least one type of fraud in the last two years. European security officials speak of an “epidemic” created by a spike in demand from asylum-seekers and from terrorists carrying counterfeit documents to enter the EU. Security documents are increasingly being counterfeited or tampered with by criminals to facilitate transnational crime. The continued vulnerability of different types of identity and travel documents makes it extremely difficult to combat this problem. SafeTravellers value proposition aims at a) strengthening the security at the borders, b) improving the productivity of the Border Authorities and LEAs by providing them with the appropriate tools to combat identity fraud at the hardware, identity and travel document, and biometrics level, while c) offering a frictionless border crossing experience for EU/TCN citizens as they will not have to stop at the border checkpoints. SafeTravellers is both proposing a new way of citizen identification based on multiple biometrics instead of the problematic identity document, as well as an enhancement of the current way of identity verification at the borders through a set of tools that will detect attacks at the biometric hardware, identity and travel document fraud and attempts to falsify biometrics. The proposed solution is GDPR compliant and introduces various privacy-preserving mechanisms to safeguard the citizens' rights. Through the distributed European Multi-Biometric Data Space offered by SafeTravellers, each Member State will keep in its jurisdiction the personal data of its country nationals while allowing cross-border identity checks without transferring or revealing any biometric data.

IAMI aims to revolutionize entity identification and resolution in security, intelligence, and investigation contexts. It addresses the challenges and limitations faced by current identification techniques and offers a visionary solution through advanced AI-powered software. The project's long-term vision is to propel EU LEAs and security/intelligence organizations into a new era of intelligence, investigation, and forensic capabilities. IAMI's core innovation is the development of an AI-powered software system that can seamlessly integrate with existing case management systems and analytic tools. At the heart of IAMI is the concept of the 'Identity-Attributes-Matrix (IAM)', a 3D construct that encompasses a broad spectrum of multi-modal identity-related attributes, including biometric data, non-biometric identity-related data, and analytic results. These attributes are used to facilitate large-scale entity identification/resolution, including a broader range of entity types, simultaneous and rapid multi-entity identification/resolution, systematic and continuous analysis of flux of probe attributes, confidence in noisy/corrupted probe data, reduced false positive rates, access to contact attributes, and the ability to classify fake identities and bots/avatars. Furthermore, IAMI sets the groundwork for effective collaboration and data sharing across European agencies, including international organizations like EUROPOL and INTERPOL through the establishment of a new EU-Wide IAMI enrolled data collection repository for terrorist threat assessment and awareness which enriches their capabilities and assets. The realization of IAMI's vision will be achieved through the demonstration of the developed IAMI solution. It will be communicated and disseminated among EU LEAs and security/intelligence agencies through project activities, including deliverables, training curricula, workshops, and pilots. IAMI represents a significant step forward in EU fight against terrorism.

PRAETORIAN strategic goal is to increase the security and resilience of European CIs, facilitating the coordinated protection of interrelated CI against combined physical and cyber threats. To that end, the project will provide a multidimensional (economical, technological, policy, societal) yet installation-specific toolset comprising: (i) a Physical Situation Awareness system, (ii) a Cyber Situation Awareness system; (iii) a Hybrid Situation Awareness system, which will include digital twins of the infrastructure under protection; and (iv) a Coordinated Response system. The PRAETORIAN toolset will support the security managers of Critical Infrastructures (CI) in their decision making to anticipate and withstand potential cyber, physical or combined security threats to their own infrastructures and other interrelated CIs that could have a severe impact on their performance and/or the security of the population in their vicinity. The project will specifically tackle (i.e. prevent, detect, response and, in case of a declared attack, mitigate) human-made cyber and physical attacks or natural disasters affecting CIs. It will also address how an attack or incident in a specific CI can jeopardise the normal operation of other neighbouring/interrelated CIs, and how to make all of them more resilient, by predicting cascading effects and proposing a unified response among CIs and assisting First Responder teams. PRAETORIAN is a CI-led, user-driven project, which will demonstrate its results in three international pilot clusters –some of them cross border– involving 9 outstanding critical infrastructures: 2 international airports, 2 ports, 3 hospitals and 2 power plants.

Though difficult to quantify, the variety of possible ID document frauds at borders is a reality that threatens politicians holding responsibility for borders as well as EU citizens. Based on the needs expressed by practitioners, the iMARS consortium has shaped a project that will: 1/ improve the operational capacity of passport application and border control operators by providing both - short-term adhoc solutions ensuring reliable passport application procedures - and mid-term solutions with no-reference and differential analysis solutions that can in particular detect manipulated and morphed passport images as well as document fraud. iMARS will provide: • Image morphing and manipulation attack detection solutions to assess ID documents validity against document fraud, during enrolment and renewal steps, as well as at the border crossing stations • Document verification and fraud detection solutions to support border guards in the verification process by providing mobile tools that can check document’s integrity To reach the targeted TRL6, these technologies will be validated in laboratory conditions using operational data collected from six border control sites (with border to countries outside EU). 2/ ensure the uptake of its outcomes after the project’s end. iMARS will: • promote usability/ergonomic aspects by providing training, guidelines and best practices to border guards and passport application officers • contribute to the ongoing standardisation efforts in the field of Presentation Attack Detection and face image quality • provide open access benchmarks (2 datasets with multiple enrolment morphed face images and border gate probe images) on a specific testing platform serving follow-on research activities • ensure that the technologies developed are accepted by citizens and respect privacy and legal EU regulations.