Wireless Sensor Networks (WSN) are being investigated by the research community for resilient distributed monitoring. Multiple sensor data fusion has proven as a valid technique to improve detection effectiveness and reliability. In this paper we propose a theoretical framework for correlating events detected by WSN in the context of critical infrastructure protection. The aim is to develop a decision support and early warning system used to effectively face security threats by exploiting the advantages of WSN. The research addresses two relevant issues: the development of a middleware for the integration of heterogeneous WSN (SeNsIM, Sensor Networks Integration and Management) and the design of a model-based event correlation engine for the early detection of security threats (DETECT, DEcision Triggering Event Composer & Tracker). The paper proposes an overall system architecture for the integration of the SeNsIM and DETECT frameworks and provides example scenarios in which the system features can be exploited.
Wireless Sensor Data Fusion for Critical Infrastructure Security / F., Flammini; Gaglione, Andrea; Mazzocca, Nicola; Moscato, Vincenzo; C., Pragliola. - STAMPA. - 53/2009:(2008), pp. 92-99. (Intervento presentato al convegno International Workshop on Computational Intelligence in Security for Information Systems CISIS’08 tenutosi a Genova, Italy nel October 23-24th, 2008) [10.1007/978-3-540-88181-0].
Wireless Sensor Data Fusion for Critical Infrastructure Security
GAGLIONE, ANDREA;MAZZOCCA, NICOLA;MOSCATO, VINCENZO;
2008
Abstract
Wireless Sensor Networks (WSN) are being investigated by the research community for resilient distributed monitoring. Multiple sensor data fusion has proven as a valid technique to improve detection effectiveness and reliability. In this paper we propose a theoretical framework for correlating events detected by WSN in the context of critical infrastructure protection. The aim is to develop a decision support and early warning system used to effectively face security threats by exploiting the advantages of WSN. The research addresses two relevant issues: the development of a middleware for the integration of heterogeneous WSN (SeNsIM, Sensor Networks Integration and Management) and the design of a model-based event correlation engine for the early detection of security threats (DETECT, DEcision Triggering Event Composer & Tracker). The paper proposes an overall system architecture for the integration of the SeNsIM and DETECT frameworks and provides example scenarios in which the system features can be exploited.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
