The overall implementation strategy adopted in the two-year project will focus on exploiting the full potential of Big Data by developing a set of AI-driven capabilities to maximise the Big Data acquisition, pre-processing, processing, enrichment and storage, and ultimately derive actionable intelligence on cybercrime and terrorism. The project adopts 10 work packages, specifically covering all the different aspects of the project.
WP1 coordinates all the activities within the project and monitors on its evolution ensuring the achievement of the project objectives within budget and scheduled deadlines while assuring the quality of project deliverables and the activities and results.
The aspects related to the conceptualization of the system ensuring that the user needs related to both security and interoperability are fulfilled are covered in WP2. The main results of the WP2 are therefore to define the use cases for Cybercrime and Counter-terrorism and the user scenarios guiding the development of the AIDA platform and related tools; to identify the data to be implemented in the scenarios and the AI functionalities to be included in the AIDA platform; to elicitate and formalise user requirements; to define system specifications and architecture.
In RP1, the main focus of WP3 was on covering the full range of possible societal and ethical concerns related to the interaction of LEAs with Big Data and the application of techniques in the field of ML and AI to policing paying special attention to cross- border exchange of information among law enforcement and data protection.
The analysis of the impact of increasing LEAs’ capabilities in the context of CC and CT on citizens’ security perceptions and of how technologies used in each project may impact their daily life is conducted in WP4. Preliminary results of WP4 concerns also the explanation of how such perceptions can be linked to citizens’ online and offline behaviours and are reported both in a project deliverable and in a paper.
In WP5, most of the work related to the implementation of the tools to find, acquire and manage relevant sources containing cybercrimes and terrorist-related activities and contents from the Surface, the Deep Web and the Darknet has been covered.
WP6 aims at delivering a set of smart multimodal processing services able to perform advanced analysis to extracting semantic information from the textual, audio and visual content.
WP7 provides capabilities for knowledge mining through services for discovering higher-level information, events, and facts by integrating and fusing the information extracted by the analysis tools coming from WP6. Visual analytics services will be provided for analysing in depth activities/events and monitoring dangerous situations, tracking terrorist group and identifying emerging trends.
WP8 will integrate and deploy into the overall system, the services resulting from WP5, 6, 7 and the applications for LEAs. WP deals with Pilots planning and preparation and system evaluation.
WP10 aims at planning, designing and implementing activities that will facilitate the achievement of the project’s impact. So far, activities have focused mainly on communicating the project to its intended audience and the general public, using a specific branding and messages and appropriate channels. More in details, two project’s newsletters have been issued, a printable flyer has been prepared and it is ready to be used by partners for any dissemination opportunity, an AIDA Community has been opened on Zenodo, ensuring open access to peer-reviewed publications stemming from AIDA and collecting all project publications on a single page, social media channels (LinkedIn and Twitter) have been launched. A number of relevant H2020 security funded projects, working towards similar goals as AIDA, have been identified.
