Project description
Breakthrough techniques against cybercrime and terrorism
Advanced technologies are increasingly used in criminal activities. Identifying, preventing and fighting modern crime demands the implementation of pioneering technologies and methods. The EU-funded AIDA project is focussing on cybercrime and terrorism by approaching specific issues related to law enforcement agencies (LEAs) using pioneering machine learning and artificial intelligence methods. The project will deliver a descriptive and predictive data analytics platform and related tools which will prevent, identify, analyse and combat cybercrime and terrorist activities. The platform is based on the fundamental technology applied to Big Data analytics provided with AI and deep learning techniques expanded and tailored with additional crime-specific capabilities and tools. The system will be delivered to LEAs through a safe sandbox environment, improving the technological readiness level in operational conditions with real data.
Fields of science
Programme(s)
- H2020-EU.3.7. - Secure societies - Protecting freedom and security of Europe and its citizens Main Programme
- H2020-EU.3.7.1. - Fight crime, illegal trafficking and terrorism, including understanding and tackling terrorist ideas and beliefs
- H2020-EU.3.7.8. - Support the Union's external security policies including through conflict prevention and peace-building
Funding Scheme
IA - Innovation actionCoordinator
Participants (20)
57001 Thermi Thessaloniki
20009 Donostia San Sebastian
The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
060071 Bucuresti
The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
08174 Sant Cugat Del Valles
The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.