Summary
Law Enforcement Agencies (LEAs) across Europe face today important challenges in how they identify, gather and interpret terrorist generated content online. The Dark Web presents additional challenges due to its inaccessibility and the fact that undetected material can contribute to the advancement of terrorist violence and radicalisation. LEAs also face the challenge of extracting and summarising meaningful and relevant content hidden in huge amounts of online data to inform their resource deployment and investigations.
In this context, the main objective of the TENSOR project is to provide a powerful terrorism intelligence platform offering LEAs fast and reliable planning and prevention functionalities for the early detection of terrorist organised activities, radicalisation and recruitment. The platform integrates a set of automated and semi-automated tools for efficient and effective searching, crawling, monitoring and gathering online terrorist-generated content from the Surface and the Dark Web; Internet penetration through intelligent dialogue-empowered bots; Information extraction from multimedia (e.g., video, images, audio) and multilingual content; Content categorisation, filtering and analysis; Real-time relevant content summarisation and visualisation; Creation of automated audit trails; Privacy-by-design and data protection.
The project brings together industry, LEAs, legal experts and research institutions. It is expected that this collaboration will have significant impact on 1) ensuring the final system meets end-user LEA requirements, 2) enabling LEAs to access and examine terrorist generated content online bringing significant advantages to their operational capability, and 3) promoting industry’s enhanced understanding of operational LEA requirements and their market competitiveness in the field of online organised crime, terrorism and harmful-radicalisation.
In this context, the main objective of the TENSOR project is to provide a powerful terrorism intelligence platform offering LEAs fast and reliable planning and prevention functionalities for the early detection of terrorist organised activities, radicalisation and recruitment. The platform integrates a set of automated and semi-automated tools for efficient and effective searching, crawling, monitoring and gathering online terrorist-generated content from the Surface and the Dark Web; Internet penetration through intelligent dialogue-empowered bots; Information extraction from multimedia (e.g., video, images, audio) and multilingual content; Content categorisation, filtering and analysis; Real-time relevant content summarisation and visualisation; Creation of automated audit trails; Privacy-by-design and data protection.
The project brings together industry, LEAs, legal experts and research institutions. It is expected that this collaboration will have significant impact on 1) ensuring the final system meets end-user LEA requirements, 2) enabling LEAs to access and examine terrorist generated content online bringing significant advantages to their operational capability, and 3) promoting industry’s enhanced understanding of operational LEA requirements and their market competitiveness in the field of online organised crime, terrorism and harmful-radicalisation.
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More information & hyperlinks
| Web resources: | https://cordis.europa.eu/project/id/700024 |
| Start date: | 01-09-2016 |
| End date: | 30-11-2019 |
| Total budget - Public funding: | 5 579 893,51 Euro - 4 977 200,00 Euro |
Cordis data
Original description
Law Enforcement Agencies (LEAs) across Europe face today important challenges in how they identify, gather and interpret terrorist generated content online. The Dark Web presents additional challenges due to its inaccessibility and the fact that undetected material can contribute to the advancement of terrorist violence and radicalisation. LEAs also face the challenge of extracting and summarising meaningful and relevant content hidden in huge amounts of online data to inform their resource deployment and investigations.In this context, the main objective of the TENSOR project is to provide a powerful terrorism intelligence platform offering LEAs fast and reliable planning and prevention functionalities for the early detection of terrorist organised activities, radicalisation and recruitment. The platform integrates a set of automated and semi-automated tools for efficient and effective searching, crawling, monitoring and gathering online terrorist-generated content from the Surface and the Dark Web; Internet penetration through intelligent dialogue-empowered bots; Information extraction from multimedia (e.g., video, images, audio) and multilingual content; Content categorisation, filtering and analysis; Real-time relevant content summarisation and visualisation; Creation of automated audit trails; Privacy-by-design and data protection.
The project brings together industry, LEAs, legal experts and research institutions. It is expected that this collaboration will have significant impact on 1) ensuring the final system meets end-user LEA requirements, 2) enabling LEAs to access and examine terrorist generated content online bringing significant advantages to their operational capability, and 3) promoting industry’s enhanced understanding of operational LEA requirements and their market competitiveness in the field of online organised crime, terrorism and harmful-radicalisation.
Status
CLOSEDCall topic
FCT-06-2015Update Date
27-10-2022
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Organisations
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| Police Service of Northern Ireland (Coördinator)
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| CYBERCRIME RESEARCH INSTITUTE GMBH
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| Departament d'Interior - Generalitat de Catalunya
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| EML EUROPEAN MEDIA LABORATORY GMBH
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| ETHNIKO KENTRO EREVNAS KAI TECHNOLOGIKIS ANAPTYXIS (CERTH)
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| EUROPEAN ORGANISATION FOR SECURITY
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| HOCHSCHULE FUR DEN OFFENTLICHEN DIENST IN BAYERN
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| KENTRO MELETON ASFALEIAS
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| LEONARDO - SOCIETA PER AZIONI (WASS)
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| LINGUATEC GMBH
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| NATIONAL CRIME AGENCY
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| POLICE AND CRIME COMMISSIONER FOR WEST YORKSHIRE
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| RINICOM LIMITED
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| SERVICE PUBLIC FEDERAL INTERIEUR
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| SHEFFIELD HALLAM UNIVERSITY