Fight Against Large-scale Corruption and Organised Crime Networks

Informations projet

FALCON

N° de convention de subvention: 101121281

DOI

10.3030/101121281

Projet clôturé

Date de signature de la CE 25 Juillet 2023

Date de début 1 Septembre 2023

Date de fin 31 Août 2026

Financé au titre de

• Civil Security for Society

Coût total

€ 5 080 455,00

Contribution de l’UE

€ 4 720 938,00

Coordonné par

EREVNITIKO PANEPISTIMIAKO INSTITOUTO SYSTIMATON EPIKOINONION KAI YPOLOGISTON
Greece

CORDIS fournit des liens vers les livrables publics et les publications des projets HORIZON.

Les liens vers les livrables et les publications des projets du 7e PC, ainsi que les liens vers certains types de résultats spécifiques tels que les jeux de données et les logiciels, sont récupérés dynamiquement sur OpenAIRE .

Livrables

Documents, reports (8)

Comprehensive report on the cost of corruption in the EU

Report on methodologies for measuring the impact of corruption, and on costs estimates in specific areas (e.g., public procurement)

Anti-corruption legislative measures and international policy landscape

Maps the practices, mechanisms, norms, and factors of the complexity of the anti-corruption legislative and policy processes at international level

Communication and dissemination plan and report

Communication and dissemination plan for the remaining duration of the project (updated yearly: M3, M14, M26)

FALCON framework architecture

Specifies the architecture of the overall technical framework of FALCON

Corruption data acquisition and analysis toolset (R1.0)

Report on the FALCON tools (1st release) for extraction of indicators from underlying data, anomaly detection, and trends analysis

Exploitation and business plan (v1)

Exploitation strategy and business opportunities (v1)

Risk assessment, investigation and decision support toolset (R1.0)

Report on the FALCON tools (1st release) for corruption risk assessment, investigation support, predictive analytics, visualization, decision support and intelligence update

Comprehensive list and definitions of corruption risk indicators

Reports state-of-the-art and innovative corruption risk indicators, containing a description of the corresponding measurable variables, to be implemented as S/W in WP4 and WP5

Demonstrators, pilots, prototypes (1)

FALCON prototype R1.0

1st integrated prototype of FALCON’s S/W components and tools

Publications

Conference proceedings (5)

From Data to Evidence: The FALCON Dashboard for Digital Forensics in Border Corruption Cases

Auteurs: Marco San Biagio, Jacopo Costa, Ernesto La Mattina
Publié dans: International Conference on the AI Revolution: Research, Ethics, and Society (AIR-RES), Las Vegas, April 13-15, 2026
Éditeur: International Conference on the AI Revolution

Unveiling Dynamics and Patterns: A Comprehensive Analysis of Spreading Patterns and Similarities in Low-Labelled Ransomware Families

Auteurs: Francesco Zola, Mikel Gorricho, Jon Ander Medina, Lander Segurola, Raul Orduna-Urrutia
Publié dans: 2024 IEEE International Conference on Blockchain (Blockchain), 2024
Éditeur: IEEE
DOI: 10.1109/BLOCKCHAIN62396.2024.00041

Defending Network Intrusion Detection Systems Based on Graph Neural Networks Against Structural Adversarial Attacks

Auteurs: Dimitri Galli, Andrea Venturi, Dario Stabili, Mauro Andreolini, Mirco Marchetti
Publié dans: 2025 23rd International Symposium on Network Computing and Applications (NCA), 2025
Éditeur: IEEE
DOI: 10.1109/NCA67271.2025.00043

FALCON: A Data-driven Risk Assessment Tool for Enhancing Anti-Corruption Measures through Real-time Predictive Analytics

Auteurs: Nikolaos Peppes, Theodoros Alexakis, Emmanouil Daskalakis, Konstantinos Demestichas, Evgenia Adamopoulou
Publié dans: RISE-SD 2024 Conference Proceedings Book (Online edition)
Éditeur: Research and Innovation Symposium for European Security (RISE-SD)

Assessing the Impact of Sanctions in the Crypto Ecosystem: Effective Measures or Ineffective Deterrents?

Auteurs: Francesco Zola, Jon Ander Medina, Raúl Orduna
Publié dans: Lecture Notes in Computer Science, Computer Security. ESORICS 2024 International Workshops, 2025
Éditeur: Springer, Cham
DOI: 10.1007/978-3-031-82349-7_20

Book chapters (3)

Approaches to AI Accountability and AI Compliance-by-Design for R&I Projects in Policing and Security: Lessons Learned from STARLIGHT

Auteurs: Christopher Guiver, Helen Gibson
Publié dans: Security Informatics and Law Enforcement, Accountability for Artificial Intelligence in Policing and Security, 2026
Éditeur: Springer Nature Switzerland
DOI: 10.1007/978-3-032-41284-3_11

ACRA: A Cutting-Edge Analytics Platform for Advanced Real-Time Corruption Risk Assessment and Investigation Prioritization

Auteurs: Nikolaos Peppes, Emmanouil Daskalakis, Theodoros Alexakis, Evgenia Adamopoulou
Publié dans: Lecture Notes in Computer Science, Embedded Computer Systems: Architectures, Modeling, and Simulation, 2025
Éditeur: Springer, Cham
DOI: 10.1007/978-3-031-78380-7_15

A Data-driven Risk Assessment Tool for Enhancing Anti-Corruption Measures through Real-time Predictive Analytics

Auteurs: Nikolaos Peppes, Emmanouil Daskalakis, Theodoros Alexakis and Evgenia Adamopoulou
Publié dans: Security Informatics and Law Enforcement
Éditeur: Springer

Peer reviewed articles (5)

<b>The Evolution of Corruption and Crimes at Kapitan Andreevo Border Checkpoint: The Impact of EU Accession</b>

Auteurs: Jacopo Costa, Claudia Baez Camargo, Noemi Jäger, Saba Kassa
Publié dans: Journal of Illicit Trade, Financial Crime, and Compliance, Numéro 2, 2026, ISSN 3070-6122
Éditeur: United Scholars Publishing
DOI: 10.65879/3070-6122.2026.2.03

AI-Driven Corruption Risk Indicator Detection: A Comparative Evaluation of Transformer-Based NLP Models in Unstructured Procurement Data

Auteurs: Nikolaos Peppes, Theodoros Alexakis, Emmanouil Daskalakis, Evgenia Adamopoulou
Publié dans: Information, Numéro 17, 2026, ISSN 2078-2489
Éditeur: MDPI AG
DOI: 10.3390/INFO17040329

Conceptualizing the evolution of corruption: an empirical analysis from Italy

Auteurs: Jacopo Costa, Claudia Baez Camargo
Publié dans: Trends in Organized Crime, 2026, ISSN 1084-4791
Éditeur: Springer Science and Business Media LLC
DOI: 10.1007/S12117-025-09586-0

Privacy-Preserving Federated Learning for Corruption Risk Detection in Public Procurement

Auteurs: Nikolaos Peppes, Theodoros Alexakis, Emmanouil Daskalakis, Evgenia Adamopoulou
Publié dans: Electronics, Numéro 15, 2026, ISSN 2079-9292
Éditeur: MDPI AG
DOI: 10.3390/ELECTRONICS15173890

A data-driven approach to measure money laundering risk and its relationship with corruption

Auteurs: Michele Riccardi
Publié dans: Journal of Economic Criminology, Numéro 10, 2025, ISSN 2949-7914
Éditeur: Elsevier BV
DOI: 10.1016/J.JECONC.2025.100184