Model-Based Early Warning and Decision Support to Improve Infrastructure Surveillance

Critical Infrastructure Protection (CIP) against both natural and intentional threats has become a major issue in modern society. CIP involves a set of multidisciplinary activities and requires the adoption of appropriate protection mechanisms operated by centralized monitoring systems. Such systems are still highly dependent on human operators for supervision and intervention. One of the challenging goals of the research community in this field is the automatic and early detection of threats, including strategic terror attack scenarios. DETECT (Decision Triggering Event Composer & Tracker) is a new framework able to recognize complex events. This is achieved by a model-based correlation of basic events detected by possibly heterogeneous sensorial subsystems.