CREST’s overall objective is to improve the effectiveness and efficiency of LEAs intelligence, operation and investigation capabilities, through the automated detection, identification, assessment, fusion, and correlation of evidence acquired from heterogeneous multimodal data streams. Such data streams include (but are not limited to) Surface/Deep/Dark Web and social media sources and interactions, IoT-enabled devices (including wearable sensors), surveillance cameras (static, wearable, or mounted on UxVs), and seized devices and hard disks.

CREST will achieve this objective by developing an innovative prediction, prevention, operation, and investigation platform that will build upon the concept of multidimensional integration and correlation of heterogeneous multimodal data streams and delivery of pertinent information to different stakeholders in an interactive manner tailored to their Needs.

Further information on the project is available here and in ucris.


Experts of the Department working on this project: