Openfund

CORDIS · ANITA

Advanced tools for fighting oNline Illegal TrAfficking

Код
ANITA
Програма
H2020
Процедура
SEC-12-FCT-2016-2017
Статус
CLOSED
Период
01.05.2018 – 31.10.2021
Обща стойност (целият консорциум)4 999 580 €
Принос на ЕС (целият консорциум)4 999 580 €
Принос на ЕС за българските участници84 062 €

Официални данни · CORDIS · синхронизирано 18.10.2026 03:29 · официален запис

Участници

ОрганизацииРоляДържаваБезвъзмездна помощ
ENGINEERING - INGEGNERIA INFORMATICA SPAкоординаторIT830 125 €
AIT AUSTRIAN INSTITUTE OF TECHNOLOGY GMBHучастникAT566 760 €
ETHNIKO KENTRO EREVNAS KAI TECHNOLOGIKIS ANAPTYXISучастникEL499 625 €
EXPERT.AI S.P.A.участникIT426 125 €
STICHTING DUTCH INSTITUTE FOR TECHNOLOGY, SAFETY & SECURITYучастникNL358 580 €
FUNDACIO INSTITUT DE BIOENGINYERIA DE CATALUNYAучастникES353 125 €
SYSTRAN SASучастникFR330 229 €
ISTITUTO ITALIANO PER LA PRIVACYучастникIT308 875 €
TILBURG UNIVERSITY- UNIVERSITEIT VAN TILBURGучастникNL300 656 €
SOCIOGRAPHY, MULTI KNOWLEDGE ACTIONS FOR RESEARCH AND ETHICSучастникIT250 049 €
HOME OFFICEучастникUK187 188 €
Netherlands PoliceучастникNL122 188 €
VIAS INSTITUTEучастникBE117 438 €
KRIMINALISTICKO-POLICIJSKI UNIVERZITETучастникRS101 935 €
POLITIEZONE BRECHT-MALLE-SCHILDE-ZOERSELучастникBE84 809 €
GLAVNA DIREKTSIA BORBA S ORGANIZIRANATA PRESTUPNOSTучастникBG84 062 €
PROVINCIAL POLICE HEADQUARTERS IN GDANSKучастникPL77 812 €
DEFENCE SCIENCE AND TECHNOLOGY LABORATORYтрета странаUK0 €

Описание

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.

Официални данни · CORDIS · синхронизирано 18.10.2026 03:29 · официален запис · Лиценз: © European Union, CC BY 4.0 (Commission reuse policy).