Constant monitoring of the Exclusive Economic Zone cannot be performed only using high performance sensors. On the one hand, all available information on the observed area as juridical history of vessels or delineation of fishing zone is not necessarily measurable. On the other hand, even if the large amount of available information could be caught out they would be useless if none thorough sorting and analysis are carried on. So, we propose to sense vessel trail in Exclusive Economic Zone, to enrich the trail with the relevant non-measurable information and to use this material to classify vessel behaviors. The main issues of this approach are the selection of the relevant detailswhich point to uncommon behaviors and the definition of the criteria which allow differentiating uncommon behavior and fraudulent one. Thus, the challenge is to deal with multidisciplinary information (i.e. bathymetry, radar tracks, insurance database, weather, etc.) and multi-domain criteria (i.e. juridical, behavioral, zonal, temporal, etc.). The architecture presented here aims to overcome both the issues.