- Breakthrough techniques against cybercrime and terrorism -

AIDA project Research project to develop a Big Data Analysis
and Analytics framework

AIDA will develop a Big Data Analysis and Analytics framework equipped with a complete set of effective, efficient and automated data mining and analytics solutions to deal with standardised investigative workflows, extensive content acquisition, information extraction and fusion, knowledge management and enrichment through novel applications of Big Data processing, Machine Learning, AI and predictive and visual analytics. It will do so in a way that ensures societal benefits and consequences are integral part of design and deployment efforts.

Cybercrime use case

To address cybercrime prevention and to speed up cybercrime identification, in order to prepare and deploy the appropriate countermeasures against perpetrators based on crime indicators and trends and leveraging on efficient and effective automated services and novel applications.

Counterterrorism use case

Terrorist individuals and groups rapidly adapt their online modi operandi to digital transformation, and rapidly divert their efforts accordingly. LEAs have therefore the hard task to keep up with the rapid changes, predict potential terrorist uses of the new digital trends and functionalities, and are overflowed with huge amounts of data, which can be either structured or unstructured and come in different formats and languages.

Latest News and Events

June 25

A deep dive into the use of AI for public security: contributions and challenges of automatic speech recognition

4825

A contribution from AIDA’s partner Voice Interaction

New technologies to fight crime: a collaboration with PREVISION

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The Horizon 2020 PREVISION project is developing advanced, almost-real-time, analytical support for multiple big data streams, 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.