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Prediction and Visual Intelligence for Security Information

Project description

DEENESFRITPL

Big Data support for criminal investigations

Crime investigators work on the field – identifying, documenting, collecting, and interpreting evidence to solve complex cases. Today, more than ever before, they need to make sense of massive streams of heterogeneous data. The EU-funded PREVISION project will provide law enforcement agencies with advanced, almost-real-time, analytical support for multiple Big Data streams (coming from various data sources). The project will allow for building dynamic and self-learning knowledge graphs that will help investigators become more aware in these fields and better address hybrid security threats, i.e. threats that combine physical and cyber attacks. The project will organise five representative and complementary use cases, including the protection of public spaces and the fight of illicit trafficking of antiquities, in full compliance with privacy requirements, human rights and applicable law.

Objective

The mission of PREVISION is to empower the analysts and investigators of LEAs with tools and solutions not commercially available today, to handle and capitalize on the massive heterogeneous data streams that must be processed during complex crime investigations and threat risk assessments. With criminals being ever more determined to use new and advanced technology for their cause, the aim is to establish PREVISION as an open and future-proof platform for providing cutting-edge practical support to LEAs in their fight against terrorism, organised crime and cybercrime, which represent three major cross-border security challenges that are often interlinked. PREVISION provides advanced near-real-time analytical support for multiple big data streams (coming from online social networks, the open web, the Darknet, CCTV and video surveillance systems, traffic and financial data sources, and many more), subsequently allowing their semantic integration into dynamic and self-learning knowledge graphs that capture the structure, interrelations and trends of terrorist groups and individuals, cybercriminal organisations and organised crime groups, giving rise to enhanced situational awareness in these fields.
PREVISION has a pan-European engagement and support agenda for LEAs: ten (10) different LEAs and practitioners take part in its consortium, while additional ones (including Europol) have joined its external advisory board. A strong inter-disciplinary dimension, combining technological expertise with sociological, psychological, linguistic and data science models, will lead to a common strategic approach for predicting abnormal and deviant behaviour, radicalisation potential, threat risks for soft targets, and cybercrime trends at different timescales. PREVISION will conduct demonstrations on five representative and complementary use cases, under real-life operational conditions, in full compliance with fundamental rights and applicable legislation.

Fields of science

Programme(s)

Topic(s)

Call for proposal

H2020-SU-SEC-2018-2019-2020

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Sub call

H2020-SU-SEC-2018

Funding Scheme

IA - Innovation action

Coordinator

EREVNITIKO PANEPISTIMIAKO INSTITOUTO SYSTIMATON EPIKOINONION KAI YPOLOGISTON
Net EU contribution
€ 709 250,00
Address
PATISION 42
106 82 ATHINA
Greece

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Region
Αττική Aττική Κεντρικός Τομέας Αθηνών
Activity type
Research Organisations
Links
Total cost
€ 709 250,00

Participants (32)

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Last update: 5 April 2023

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Permalink: https://cordis.europa.eu/project/id/833115

European Union, 2024