ANITA aims to design and develop a novel knowledge-based and user-centred investigation system for analysing heterogeneous (text, audio, video, image) online (Surface Web, Deep Web, DarkNet) and offline content. The ultimate goal is to fight illegal trafficking of drugs, counterfeit medicines, New Psychoactive Substances (NPS) and firearms.
ANITA will combine:
- innovative technologies for data source analysis of crypto-currency networks and financial transactions
- advanced Big Data & Analytics tools for the automatic analysis of vast amounts of heterogeneous content
- sophisticated methodologies to capture, model and infer human understandable knowledge
- a cognitive user modeling framework able to capture, analyze, interpret and integrate key human cognitive factors and information processing functions to incorporate human perception/cognition principles in the system and facilitate the knowledge transfer from the expert users to the novice ones
- user-oriented intelligence applications to enable users in identifying patterns for spatial, temporal and causal correlations among illegal trafficking events, entities and activities and support decision-making processes.
All the above functionalities will be strengthened by an in-depth interdisciplinary analysis of the online illegal trafficking phenomenon and of the online resources with respect to social, ethical, legal and privacy issues of concern. The proposed system capabilities will be demonstrated in multiple relevant operational environments provided by the Law Enforcement Agencies (hence LEAs) involved in the project.
Engineering is the coordinator of the project and also takes care of the integration aspects as well as of the implementation of the applications for the LEAs.
Engineering is also responsible for the system architecture, reasoning mechanisms for criminal network reconstruction, knowledge modeling and representation, search and retrieval mechanisms.