The information available on-line and off-line, from open as well as from private sources, is growing at an inestimable rate placing ever increasing demand on the limited resources of Law Enforcement Agencies (LEAs). The absence of appropriate tools and techniques to collect, process, and analyse the pronounced volumes of complex and heterogeneous data has created a severe information overload.
ASGARD aims at building a sustainable, long-lasting community of LEAs, industry and technology providers that will take care of creating (at no cost for LEAs), maintaining and evolving the best set possible of tools for the extraction, fusion, exchange and analysis of big data including cyber-offenses generated data for forensic investigation. With forensics being the main focus of the project, both intelligence and foresight dimensions will also be tackled by ASGARD. The resulting tools will exploit recent advances in the ICT sector and will be designed in a way that they are easily and rapidly deployable to face threats and needs as they emerge. Within ASGARD, the role of end-users, the LEAs, is of utmost importance. Their involvement in the project will have two clearly distinct phases:
Three final demonstrations are planned, focused on:
ASGARD has been conceived and will be implemented considering four key aspects: