Openfund

CORDIS · ANITA

Advanced tools for fighting oNline Illegal TrAfficking

Code
ANITA
Programme
H2020
Call
SEC-12-FCT-2016-2017
Status
CLOSED
Period
2018-05-01 – 2021-10-31
Total cost (whole consortium)4 999 580 €
EU contribution (whole consortium)4 999 580 €
EU contribution to Bulgarian participants84 062 €

Official data · CORDIS · synced 2026-10-17 10:16 · official record

Participants

OrganisationsRoleCountryGrant
ENGINEERING - INGEGNERIA INFORMATICA SPAcoordinatorIT830 125 €
AIT AUSTRIAN INSTITUTE OF TECHNOLOGY GMBHparticipantAT566 760 €
ETHNIKO KENTRO EREVNAS KAI TECHNOLOGIKIS ANAPTYXISparticipantEL499 625 €
EXPERT.AI S.P.A.participantIT426 125 €
STICHTING DUTCH INSTITUTE FOR TECHNOLOGY, SAFETY & SECURITYparticipantNL358 580 €
FUNDACIO INSTITUT DE BIOENGINYERIA DE CATALUNYAparticipantES353 125 €
SYSTRAN SASparticipantFR330 229 €
ISTITUTO ITALIANO PER LA PRIVACYparticipantIT308 875 €
TILBURG UNIVERSITY- UNIVERSITEIT VAN TILBURGparticipantNL300 656 €
SOCIOGRAPHY, MULTI KNOWLEDGE ACTIONS FOR RESEARCH AND ETHICSparticipantIT250 049 €
HOME OFFICEparticipantUK187 188 €
Netherlands PoliceparticipantNL122 188 €
VIAS INSTITUTEparticipantBE117 438 €
KRIMINALISTICKO-POLICIJSKI UNIVERZITETparticipantRS101 935 €
POLITIEZONE BRECHT-MALLE-SCHILDE-ZOERSELparticipantBE84 809 €
GLAVNA DIREKTSIA BORBA S ORGANIZIRANATA PRESTUPNOSTparticipantBG84 062 €
PROVINCIAL POLICE HEADQUARTERS IN GDANSKparticipantPL77 812 €
DEFENCE SCIENCE AND TECHNOLOGY LABORATORYthird partyUK0 €

Description

ANITA will design and develop a novel knowledge-based user-centred investigation system for analysing heterogeneous (text, audio, video, image) online (Surface Web, Deep Web, DarkNet) and offline content for fighting illegal trafficking of drugs, counterfeit medicines, NPS and firearms. ANITA will combine a) innovative data source analysis of crypto-currency network and transactions and blockchain technologies; b) advanced Big Data analytics tools for automatic analysis of the vast amounts of multimodal content of the identified sources; c) sophisticated methodologies for capturing, modelling and inferring knowledge in human understandable forms (e.g. expressive ontologies), extracting also relevant and new knowledge from neural networks and formally storing it in the form of ontologies; d) development of an adaptive, cognitive user modelling framework that will capture, analyse, interpret, mimic and integrate key human cognitive and information processing functions for: i) incarnating the incorporation of human perception/cognition principles in the system processing pipelines (i.e. integrating the investigators ‘in-the-loop’ of the overall analysis process) and ii) facilitate the transfer of domain knowledge from the expert users to the novice ones; e) domain-related and user-oriented intelligence applications, which will enable users to identify patterns for spatial, temporal and causal correlations among illegal trafficking events, entities and activities and to support decision-making processes for countermeasures to undertake. All the above functionalities will be coupled and reinforced by an in-depth interdisciplinary analysis of the online illegal trafficking phenomenon (including the study of reaction strategies and countermeasures) and a thorough analysis of the online resources with respect to social, ethical, legal and privacy issues of concern. The proposed system capabilities will be demonstrated in multiple relevant operational environments.

Official data · CORDIS · synced 2026-10-17 10:16 · official record · Licence: © European Union, CC BY 4.0 (Commission reuse policy).