Fight Against Large-scale Corruption and Organised Crime Networks

Informazioni relative al progetto

FALCON

ID dell’accordo di sovvenzione: 101121281

DOI

10.3030/101121281

Progetto chiuso

Data della firma CE 25 Luglio 2023

Data di avvio 1 Settembre 2023

Data di completamento 31 Agosto 2026

Finanziato da

• Civil Security for Society

Costo totale

€ 5 080 455,00

Contributo UE

€ 4 720 938,00

Coordinato da

EREVNITIKO PANEPISTIMIAKO INSTITOUTO SYSTIMATON EPIKOINONION KAI YPOLOGISTON
Greece

CORDIS fornisce collegamenti ai risultati finali pubblici e alle pubblicazioni dei progetti ORIZZONTE.

I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .

Risultati finali

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

Pubblicazioni

Conference proceedings (5)

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

Autori: Marco San Biagio, Jacopo Costa, Ernesto La Mattina
Pubblicato in: International Conference on the AI Revolution: Research, Ethics, and Society (AIR-RES), Las Vegas, April 13-15, 2026
Editore: International Conference on the AI Revolution

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

Autori: Francesco Zola, Mikel Gorricho, Jon Ander Medina, Lander Segurola, Raul Orduna-Urrutia
Pubblicato in: 2024 IEEE International Conference on Blockchain (Blockchain), 2024
Editore: IEEE
DOI: 10.1109/BLOCKCHAIN62396.2024.00041

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

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

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

Autori: Nikolaos Peppes, Theodoros Alexakis, Emmanouil Daskalakis, Konstantinos Demestichas, Evgenia Adamopoulou
Pubblicato in: RISE-SD 2024 Conference Proceedings Book (Online edition)
Editore: Research and Innovation Symposium for European Security (RISE-SD)

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

Autori: Francesco Zola, Jon Ander Medina, Raúl Orduna
Pubblicato in: Lecture Notes in Computer Science, Computer Security. ESORICS 2024 International Workshops, 2025
Editore: 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

Autori: Christopher Guiver, Helen Gibson
Pubblicato in: Security Informatics and Law Enforcement, Accountability for Artificial Intelligence in Policing and Security, 2026
Editore: 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

Autori: Nikolaos Peppes, Emmanouil Daskalakis, Theodoros Alexakis, Evgenia Adamopoulou
Pubblicato in: Lecture Notes in Computer Science, Embedded Computer Systems: Architectures, Modeling, and Simulation, 2025
Editore: 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

Autori: Nikolaos Peppes, Emmanouil Daskalakis, Theodoros Alexakis and Evgenia Adamopoulou
Pubblicato in: Security Informatics and Law Enforcement
Editore: Springer

Peer reviewed articles (5)

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

Autori: Jacopo Costa, Claudia Baez Camargo, Noemi Jäger, Saba Kassa
Pubblicato in: Journal of Illicit Trade, Financial Crime, and Compliance, Numero 2, 2026, ISSN 3070-6122
Editore: 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

Autori: Nikolaos Peppes, Theodoros Alexakis, Emmanouil Daskalakis, Evgenia Adamopoulou
Pubblicato in: Information, Numero 17, 2026, ISSN 2078-2489
Editore: MDPI AG
DOI: 10.3390/INFO17040329

Conceptualizing the evolution of corruption: an empirical analysis from Italy

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

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

Autori: Nikolaos Peppes, Theodoros Alexakis, Emmanouil Daskalakis, Evgenia Adamopoulou
Pubblicato in: Electronics, Numero 15, 2026, ISSN 2079-9292
Editore: MDPI AG
DOI: 10.3390/ELECTRONICS15173890

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

Autori: Michele Riccardi
Pubblicato in: Journal of Economic Criminology, Numero 10, 2025, ISSN 2949-7914
Editore: Elsevier BV
DOI: 10.1016/J.JECONC.2025.100184