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ANR funded project

Liberté et protection des citoyens et des résidents (DS0901) 2014
Projet IDFRAud

An Operational Automatic Framework for Identity Document Fraud Detection and Profiling

Identity-related frauds represent a major risk on the society safety given its serious consequences. These consequences may vary from small but very frequent frauds (telecom contracts, small credits, etc.) to transnational organized crimes and terrorist actions. An increasing number of false identity documents have been detected during the last few years, according to several official studies around the globe. The fast development of such criminal activities can be explained by an easy and public access to advanced technologies. Several studies have reported the organized nature of ID fraud activities and the progress of such black market.
In order to fight against identity-related frauds, traditional investigation methods applied to identity documents (ID) rely on the presence of an expert, which significantly reduces the spread of such important verification in many administrative and commercial entities. In addition, existing ID control tools have shown several limitations, such as high false positive rates (rejection of valid documents), partial controls or nonexistent evolving capacities (new ID models, new control rules). Because of these shortcomings, automatic verification tools have not been widely used and their role has been reduced to data memorizing and simple assistance tasks.
When ID frauds are detected, it is important to discover forensic links in order to identify the source of those frauds. Current investigation methods do not sufficiently address this problem and are still based on case-by-case approaches with no global analysis. However, an efficient automatic fraud pro ling system allowing to ID fraud link detection will certainly be of great benefit to anti-fraud authorities and will help to uncover many forgery worldwide networks.
The core idea of IDFRAud, our proposition of an industrial research project, is to establish a virtuous circle between two processes: (1) the automatic verification of ID documents, and (2) the automatic profiling of ID frauds. The first process applies control rules on ID documents in order to check their validity, and sends detected ID frauds to the second process that analyzes them in order to discover forensic links (fraud profiling), and to enhance the ID control rules. Control rules are stored and maintained in a knowledge base in order to facilitate the system evolution. The knowledge base is also fed with existing repositories of ID document models (like Prado1) and ID frauds. In fact, adding new control rules enables more robust future ID controls, which in turn enable the detection of more ID frauds, and forensic links.
The first originality of IDFRAud is to propose an automatic solution for ID verification that can handle documents issued from a large set of countries. The solution will be able to execute specific controls according to the ID model (type, country, generation, etc) thanks to a knowledge base. ID content and rules modeling is one of the main originalities of IDFRAud. To the best of our knowledge, there is no existing formal description of ID documents and existing public and industrial ID knowledge bases cannot be directly used for automatic reading and verification.
ID fraud automatic profiling represents a major ambition of IDFRAud. Experts from national security authorities along with academic and industrial partners will work side by side to propose the first data analysis solution dedicated to ID forensic link detection. Such intelligent solution aims at replacing the manual fastidious analysis that can hardly cope with a high-dimensional evolving false ID datasets.



ENSP Ecole Nationale Supérieure de Police

 Pôle Judiciaire de la Gendarmerie Nationale

Université de Rennes 1 / IRISA Université de Rennes 1 / Institut de Recherche en Informatique et Systèmes Aléatoires

ANR grant: 905 433 euros
Beginning and duration: octobre 2014 - 36 mois


ANR Programme: Liberté et protection des citoyens et des résidents (DS0901) 2014

Project ID: ANR-14-CE28-0012

Project coordinator:
Monsieur Ahmad Montaser AWAL (AriadNEXT)


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The project coordinator is the author of this abstract and is therefore responsible for the content of the summary. The ANR disclaims all responsibility in connection with its content.