DANTE: Detecting and analysing terrorist-related online contents and financing activities

Proyecto de Investigación H2020

The DANTE project aims to deliver more effective, efficient, automated data mining and analytics solutions and an integrated system to detect, retrieve, collect and analyse huge amount of heterogeneous and complex multimedia and multi-language terrorist-related contents, from both the Surface and the Deep Web, including Dark nets

Sector aplicación:

Smart society: security in social networks

Reto/Interés para la industria:

DANTE aims to significantly facilitate counter terrorism analysts in investigation processes, by providing an automated data mining and analytics functionalities, capable to detect, retrieve, collect and analyse data of suspicious terrorist raising fund, propaganda and training activities within the surface, the dark and the deep web. This approach on one side will increase the number and the rapidity of successfully identifying terrorist activities and on the other side will lower the cost of investigations. DANTE will provide new tools, techniques, processes and algorithms to support counter terrorism investigators and analysts in their daily work also considering the Legal, Ethical and Privacy issues. Moreover DANTE framework will respect privacy and ethical issues by design with consequent increase of the public acceptance of next generation security systems. The increased effectiveness of DANTE will have a positive impact not only on the actual level of security but also on how security is socially perceived resulting in a improved daily quality of life especially in the social environment.

Descripción de la implementación:

The project will develop innovative functionalities integrated into an open source environment and it will support the management of diverse data sources and data types and multi-lingual, in order to be able to detect and analyse data in diverse languages and coming from diverse sources (videos, text messages, audios, etc).
The DANTE framework introduces innovative knowledge mining, information fusion, and automated reasoning techniques and services and provide automated functionalities such as

  • detection and monitoring of sources of relevant terrorist-related data in surface/deep Web, and dark nets;
  • accurate and fast detection, analysis, categorization of suspect terrorist related multi-language contents;
  • large-scale temporal analysis of terrorism trends;
  • real-time summarization of multilingual and multimedia terrorist-related contents;
  • detection of dis-information in online contents;
  • detection and monitoring of relevant individuals and linking pseudonyms with the original authors;
  • accurate and fast identification of terrorist online communities and groups;
  • capturing, storing and preserving relevant data for further forensic analysis.


Shall be displayed once the project is finished

Valor diferencial aportado por DeustoTech:

  • The opportunity to validate the developed technologies in real environments
  • Innovations will be able to reach the markets and not only demonstrate their validity on a theoretical level
  • Expertise in Web crawling and social network analysis.

Tiempos desarrollo:

3 years

Tecnologías clave:

Big Data, Natural Language Processing