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.
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References
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Flammini, F., Gaglione, A., Mazzocca, N., Moscato, V., Pragliola, C. (2009). Wireless Sensor Data Fusion for Critical Infrastructure Security. In: Corchado, E., Zunino, R., Gastaldo, P., Herrero, Á. (eds) Proceedings of the International Workshop on Computational Intelligence in Security for Information Systems CISIS’08. Advances in Soft Computing, vol 53. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-88181-0_12
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DOI: https://doi.org/10.1007/978-3-540-88181-0_12
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-88180-3
Online ISBN: 978-3-540-88181-0
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