ANITA’s primary goal is twofold: a) To boost the LEA’s investigation process and to significantly increase their operational capabilities, by introducing a set of innovative tools for efficiently addressing online illegal trafficking challenges (namely online data source analysis, blockchain analysis, Big Data analytics, knowledge modelling, incorporation of human cognitive function in the analysis pipelines, user-oriented intelligence applications), and b) To significantly facilitate the novice officers training process and to optimize the learning curve (by collecting, integrating and re-using knowledge from multiple expert officers and through the development of a recommendation functionality to transfer the acquired ‘know-how’ to the new officers).
The ASGARD project is trying to improve the efficiency of LEA, Industry and Researchers collaboration in Security Research projects. By the end of the project ASGARD aims to deliver an active and sustainable community which will help LEAs increase their technological autonomy. The methodology is focused on short full-development cycles (6-months) that conclude with face-to-face “Hackathon” events at which the tools are released and jointly evaluated. LEAs can then pick-and-choose tools and use/evaluate them in their own premises with their own data.
The CCI Project aims to cut crime impact by providing LEAs (Law Enforcement Agencies) with toolkits to prevent and mitigate crime for a safe and secure Europe. The CCI project focuses on crimes that impact negatively on citizens and their communities — including violent assault, robbery, burglary and anti-social behaviour — and the feelings of insecurity that such problems can create.
CONNEXIONs aims to develop and demonstrate next-generation detection, prediction, prevention, and investigation services. These services will be based on multidimensional integration and correlation of heterogeneous multimodal data, and delivery of pertinent information to various stakeholders in an interactive manner tailored to their needs, through augmented and virtual reality environments. The CONNEXIONs solution encompasses the entire lifecycle of law enforcement operations and will meaningfully enhance operational and (near) real-time situational awareness.
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.
The ILEAnet project’s key objective is to develop a sustainable Law Enforcement Agency (LEA) practitioners’ network, encouraging and organising the dialogue between the research community and those practitioners to help them find out the solutions that security research and innovation (R&I) can bring to support them in their daily challenges. In a practical way, ILEAnet aims to play a facilitating role in the uptake process of security research projects’ outputs, from the capture of operational challenges and needs of LEA practitioners to the identification of factors hindering the deployment of concrete solutions and the development of an implementation toolbox.
MINDb4ACT aims at understanding the process of radicalisation in a range of four contexts (prisons and judiciary systems, local initiatives, schools and learning centers and the Internet and media) by carrying out 17 small-scale interventions to tackle violent extremism. The methodology used to design, plan and develop the pilot projects is ‘Living Lab’, a participatory method successfully used in some security sectors (cyber security and intelligence) to test new solutions with main stakeholders, first line-practitioners and professionals.
The overall objective of RAMSES is to design and develop a holistic, intelligent, scalable and modular platform for Law Enforcement Agencies (LEAs) to facilitate digital Forensic Investigations. The system will extract, analyse, link and interpret information extracted from Internet related with financially-motivated malware.
The vision of RED-Alert project is to develop a real-time system able to facilitate the timely identification of terrorism related content by summarizing data from social media. To fight the war against terror, LEAs are increasingly relying on social media intelligence, a new field of intelligence covering a wide range of applications, techniques and capabilities analyzing social media data. Addressing the needs and challenges, RED-Alert solution will cover a wide range of social media channels, in particular new channels such as Telegram and Periscope, which are increasingly used by terrorist groups to disseminate their content. The RED-Alert solution will allow LEAs to take coordinated action in real-time while preserving the privacy of citizens.
Organized Crime and Terrorist Networks are a major challenge for the European Union. However, we need more knowledge in order to develop better strategies and instruments against these phenomena. TAKEDOWN aims at creating a better understanding of organized crime and terrorist networks and the consortium will develop digital and non-digital toolkits and solutions for more efficient and effective prevention, intervention and response strategies.