This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the grant agreement Nº 833115.
Prediction and Visual Intelligence for Security
Information
PREVISION provides advanced near-real-time analytical support formultiple big data streams (coming from online social networks, the openweb, the Darknet, Closed-Circuit Television (CCTV) and video surveillancesystems, traffic and financial data sources, and many more), subsequentlyallowing their semantic integration into dynamic and self-learningknowledge graphs that capture the structure, interrelations and trends ofterrorist groups and individuals, cybercriminal organisations and organisedcrime groups, giving rise to enhanced situational awareness in these fields.
www.prevision-h2020.eu
R6 – CPI-SApps: Crime Prevention and Investigation,
Situation Awareness supporting
applications
The mission of PREVISION is to empower the analysts andinvestigators of Law Enforcement Agencies (LEAs) withtools and solutions not commercially available today, tohandle and capitalize on the massive heterogeneous datastreams that must be processed during complex crimeinvestigations and threat risk assessments.With criminals being ever more determined to use new andadvanced technology for their cause, the aim is to establishPREVISION as an open and future-proof platform forproviding cutting-edge practical support to LEAs in theirfight against terrorism, organised crime and cybercrime,which represent three major cross-border securitychallenges that are often interlinked.
Open, scalable and
customizable toolset that
provides support for extreme-
scale data streams analytics
Semantic fusionpowerful
knowledge graphs
combined with advanced
reasoning and machine
learning engines
Situationawareness enabling
applications tailored to
specific operational
needs of Law Enforcement
Agencies
Common platform
architecture available to end-
users for thorough validation
(TRL-7)
Demonstrationand evaluation
in realistic cases Training activities
Transferability framework
Compliance with the legal, ethical, privacy, societal
and court-acceptance
guidelines and EU best practices
High multi-dimensional
impact, continuity and
business perspective of project results
R1 – AEDAS: Advanced
Extreme-scale Data-stream
Analytics tool-Set
R2 – CIMARA-DB: Models for
Adaptive Risk Assessment of
Deviant Behaviour
R5 – EC-VAT: Extensible and Customizable
Visual Analytics Toolkit
R7 – IPPA: Integrated PREVISION Platform
Architecture
R8 – PTF: PREVISION
Transferability Framework
R10 – PLESCA: Privacy, Legal,
Ethical, Societal and Court-Acceptance framework
R11 – PBESP: PREVISION Business,
Exploitation and Sustainability
Plan
R3 – ICONU: Intelligent Criminal
Organisation Networks Unveiled
R9 – TC-P3: Training
Curriculum in PREVISION-
enabled Predictive
Policing
R4 –LLM4CONets:
Lifelong Learning Machines for
Criminal Organisation
Networks
GEOSPATIALDATA
OPEN WEBDATA
DARKNETDATA
VIDEO / IMAGEDATA
ROAD TRAFFICDATA
FINANCIALDATA
TELECOM / NETWORKDATA
SOCIAL NETWORKSDATA
INFORM. SECURITY SYSTEMSDATA
SO-1 SO-2 SO-3 SO-4 SO-5 SO-6 SO-7
PR
EV
ISIO
N
SOFT TARGETS PROTECTION
ANTI-RADICALISATION
CYBER-CRIME AWARENESS
FINANCIAL CRIME INVESTIGATION
ILLICIT MARKETS INVESTIGATION
www.prevision-h2020.eu
RES
ULT
S
SPECIFIC OBJECTIVES